Robotics Is More Than Just Automation

While numerous robots are intended for automating tasks, there are others that are intended to augment human capabilities rather than automate tasks. Robots are good at performing repetitive tasks on factory floors today, however, cutting-edge robotics will go past automation use cases. The next challenge is someplace in the middle of where we need to have robots that can settle on decisions all alone independently, yet additionally, have the option to have people tuned in.

Automation is obviously a top reason behind organizations considering the utilization of robotic innovation within their business processes. Nonetheless, it is essential to understand that, while numerous robots are intended for automating tasks, there are others that are designed to increase human abilities as opposed to automate tasks. We will, in general, consider robots either robotic arms or autonomous mobile robots operating autonomously in business settings.

Such devices regularly center around improving productivity and effectiveness in business operations. Then again, there are a few components of robotic technology that are centered around improving human security or giving humans increased strength, stamina, or accuracy.

In any case, what is, maybe, all the more exciting is the opportunity that robotics gives a democratized competitive landscape for manufacturers of all sizes. Small and mid-sized manufacturers are putting resources into robotics technology at a higher rate than their companions in different enterprises, as indicated by the Oxford Economics study “The Transformation Imperative for Small and Midsize Manufacturers.” And this pattern will turn out to be progressively articulated throughout the following two years, as developing organizations unquestionably close the adoption gap among themselves and their bigger adversaries.

By including only a couple of robots one after another, smaller producers are setting up a triumphant establishment for giving the individualized offerings and services customers expect. All the more critically, they are cultivating a working environment culture that improves the ability and aptitude of each employee.

One of the most clear utilizations of robotic technology that is intended to expand human abilities as opposed to automate tasks is in the region of surgical robotics. These devices are intended to be physically worked by a surgeon while expanding the abilities of the surgeon. One of the most broadly known instances of robotic technology for surgery is the da Vinci robot by Intuitive Surgical. The innovation permits a surgeon to remotely work the robot utilizing a 3D top quality vision system as well as various automated arms, each cable of being equipped with an alternate surgical tool.

Getting robots to the business procedure doesn’t really imply that employees will vanish. Quite the contrary, job titles and duties should be rethought and, in all likelihood, raised. Via automating monotonous and potentially hazardous tasks and giving the data and abilities required to get work done well, employees can be retrained to work alongside robotics and do their jobs better and safer.

Robots will work together with people to unravel immediate social problems across domains, for example, industrial safety, healthcare and disaster relief. In industrial safety, for instance, robots can be deployed in distant areas to maintain public infrastructure.

According to Vijayakumar, Director of the Edinburgh Centre for Robotics, “We face huge difficulties with regards to keeping up our foundation, for example, underground sewerage systems. We will find a good pace where it is genuinely inconceivable for us to take a look at the safety of these things.” In any case, it could set aside some effort to arrive even with the current pace of technological development, on account of the vulnerabilities of this real world, and the pervasiveness of noise and sensors in decision-making.

“All things considered, we need to truly find a workable pace where we can exploit the best of the two universes,” he said. “Robots are truly adept at performing exact movement, while people are generally excellent at contextual decision-making.”

Robots embedded with sensors permit the provider to screen the output capacity which opens up a completely progressively affordable approach to optimize working capital. As opposed to making a one-time, heavy buy and pursuing a month to month charge for on-call service, companies can use a service-level agreement with the provider that permits usage-based billing without owning the actual robot.

Affordable, connected, intelligent, and adaptable robotics are opening the door to an unprecedented opportunity for small and midsize manufacturers. However, despite the fact that accessing and actualizing the innovation may appear to be clear, automating everything is never the appropriate answer. Costs will step by step increment to wild levels, particularly when one piece of the procedure breaks and triggers a glitch down the whole line.

To catch the full value of the opportunities presented by new robotic systems, organizations will consistently require employees to help guarantee the operation runs at top performance and adjusts for customer demand, market shift, resource volatility, and business strategy. Robotic technology keeps on improving bringing about new and inventive manners by which robotics is improving business procedures and helping with improving human performance and wellbeing. In this way, whenever you consider robots, think about the role of technology past automation.

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Top 10 Women in Robotics Industry

From driving rovers on Mars to improving farm automation, women have been everywhere. These women cover all parts of the robotics industry, both research, product and approach. They are authors and pioneers, they are investigators and activists. They are founders and emeritus. There is a role model here for everybody! What’s more, there is no reason ever not to have a lady talking on a board on robotics and AI.

Robotics is the method for the future, and women are driving the way for the absolute most accommodating innovations! For little girls, strong role models are vital! From Ada Lovelace, the world’s first computer programmer, to ladies engaged with robotics today, this rundown of female pioneers makes certain to motivate children to think about robotics as a future career.

Danielle Applestone

While working at Otherlab, Danielle Applestone built up the Other Machine, a desktop CNC machine and machine control software appropriate for students, and financed by DARPA. The organization is currently known as Bantam Tools and was acquired by Bre Pettis. Right now, Applestone is CEO and CoFounder of Daughters of Rosie, determined to solve the labor shortage in the U.S. manufacturing industry by getting more women into stable manufacturing employments with purpose, growth potential, and benefits.

Crystal Chao

Crystal Chao is Chief Scientist at Huawei and the Global Lead of Robotics Projects, administering a group that works in Silicon Valley, Boston, Shenzhen, Beijing, and Tokyo. She has worked with all aspects of the robotics programming stack in her previous career, including a stint at X, Google’s moonshot production line. In 2012, Chao won Outstanding Doctoral Consortium Paper Award, ICMI, for her PhD at Georgia Tech, where she built up an architecture for social human-robot interaction (HRI) called CADENCE: Control Architecture for the Dynamics of Natural Embodied Coordination and Engagement, empowering a robot to collaborate fluently with people utilizing dialogue and manipulation.

Alice Agogino

Squishy robots are quickly deployable mobile sensing robots for disaster rescue, remote monitoring and space exploration, created from the research at the BEST Lab or Berkeley Emergent Space Tensegrities Lab. Prof. Alice Agogino is the Roscoe and Elizabeth Hughes Professor of Mechanical Engineering, Product Design Concentration Founder and Head Advisor, MEng Program at the University of California, Berkeley, and has a long history of combining research, entrepreneurship and inclusion in engineering. Agogino won the AAAS Lifetime Mentor Award in 2012 and the Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring in 2018.

Emily Cross

Emily Cross is a cognitive neuroscientist and artist. As the Director of the Social Brain in Action Laboratory (www.soba-lab.com), she investigates how our cerebrums and behaviors are formed by various types of experience all through our life expectancies and across societies. She is right now the Principal Investigator on the European Research Council Starting Grant entitled ‘Social Robots’, which runs from 2016-2021.

Susanne Bieller

Dr. Susanne Bieller is General Secretary, of The International Federation of Robotics (IFR), a non-profit organization representing more than 50 makers of industrial robots and national robot associations from more than twenty nations. Prior to that, Dr Bieller was project manager of the European Robotics Association EUnited Robotics. In the wake of finishing her PhD in Chemistry, she started her expert profession at the European Commission in Brussels, at that point dealt with the flat-panel display group at the German Engineering Federation (VDMA) in Frankfurt.

Cynthia Breazeal

If robots can act in the most profound pieces of the sea, for what reason wouldn’t they be able to contribute at home? That question has driven Cynthia Breazeal to pioneer ‘social robotics’ that communicate with people. She made the world’s first social robot, Kismet, and established Jibo, the world’s first family robot. She additionally directs the Personal Robots Group at MIT’s Media Lab.

Heather Justice

Heather Justice has the dream job title of Mars Exploration Rover Driver and is a Software Engineer at NASA JPL. As a 16-year-old viewing the first Rover arriving on Mars, she stated: “I saw exactly how far robotics could take us and I was enlivened to seek after my inclinations in computer science and engineering.” Justice graduated from Harvey Mudd College with a B.S. in computer science in 2009 and an M.S. from the Robotics Institute at Carnegie Mellon University in 2011, having additionally interned at three diverse NASA places and working in an assortment of research areas including computer vision, mobile robot path planning, and spacecraft flight rule validation.

Ayorkor Korsah

Ayorkor Korsah experienced childhood in Ghana and studies in the United States picking up her Ph.D. in Robotics from Carnegie Mellon University. Presently back in Ghana, she is a professor of computer science and robotics at Ashesi University. In 2012, she co-founded the African Robotics Network, a community that shares robotics resources.

Madeline Gannon

Madeline Gannon is a multidisciplinary designer imagining better approaches to speak with machines. Her ongoing works taming giant industrial robots center around growing new boondocks in human-robot relations. Her interactive establishment, Mimus, was granted a 2017 Ars Electronica STARTS Prize Honorable Mention. She was likewise named a 2017/2018 World Economic Forum Cultural Leader. She holds a PhD in Computational Design from Carnegie Mellon University, where she studied human-focused interfaces for autonomous fabrication machines. She additionally holds a Masters in Architecture from Florida International University.

Kanako Harada

Kanako Harada is Program Manager of the ImPACT program “Bionic Humanoids Propelling New Industrial Revolution” of the Cabinet Office, Japan. She is additionally Associate Professor of the divisions of Bioengineering and Mechanical Engineering, School of Engineering and the University of Tokyo, Japan. She acquired her M.Sc. in Engineering from the University of Tokyo in 2001, and her Ph.D. in Engineering from Waseda University in 2007. She worked for Hitachi Ltd., Japan Association for the Advancement of Medical Equipment, and Scuola Superiore Sant’Anna, Italy, before joining the University of Tokyo. Her research interests incorporate surgical robots and surgical skill assessment.

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Smart Robots: The Potential Benefits of Combining AI with Robotics

AI

What would you call a machine that looks like a human? Obviously a Robot!

Robots are machines or mechanical human beings that are designed to assist humans with laborious and complex tasks. However, such robots are no more just mechanical design rather they have become smarter with time and advancement of technologies. AI developments have induced evolution and better capacity in robots. Even robotics and AI together can revolutionize almost any industry for the greater good.

As the industry is realizing the combined potential of both the technologies, will we see the combination anytime soon?

Well, some of them have already arrived in the market. In CES 2020, Samsung unveiled a bot chef who is capable of making people a salad on their command. Also, Delta Airlines showcased an exoskeleton that can boost the strength and endurance of the human body. We can observe that robotics offers a lot of promise from the creation of artificial limbs to entire suits that can help people performs difficult tasks so much easier. Amid this, the amalgamation of AI and robotics introduces interesting interplays. The industry can be benefitted from earnest promises of AI+Robots.

Using AI’s subset Machine Learning (ML), if we design a system where the device learns from its mistakes and automatically compensates for errors as it works, then we’ve successfully combined AI and robotics. The combination of these technologies has the potential to make people’s lives a lot easier. People can monitor the performance of robots as opposed to manually performing tasks themselves. The downside of these systems would be that the labor demand for any industry that utilizes these robots will be far less. The robots will correct themselves if any errors arise, and only massive, glaring problems would need a human to address them.

Moreover, we already have machines that can perform these complex tasks and learn from them. The UC Berkeley PR2 can fold laundry and learn the way you’d like it to be folded, but the cost of such a system is prohibitively expensive. While businesses through increased demand to drive down prices will eventually make these machines affordable, for the time being (and for quite a while into the future), the application of AI and robotics as a combined unit remains too expensive to apply to routine tasks. As development in the field moves forward, we may see robots that work on machine learning within the next decade. The question of whether humanity is ready for the impact it will make both socially and economically is something that experts are still debating today.

Current Applications of AI combined with Robotics

According to a report, in today’s global manufacturing sector, there are a few main ways in which AI is deployed along with robotics. AI is a highly useful tool in robotic assembly applications. When combined with advanced vision systems, AI can help with real-time course correction, which is particularly useful in complex manufacturing sectors like aerospace. AI can also be used to help a robot learn on its own which paths are best for certain processes while it’s in operation.

Moreover, robotics packaging uses forms of AI frequently for quicker, lower cost and more accurate packaging. AI helps save certain motions a robotic system makes, while constantly refining them, which makes installing and moving robotic systems easy enough for anybody to do.

Furthermore, robots are now being used in a customer service capacity in retail stores and hotels around the world. Most of these robots leverage AI’s natural language processing abilities to interact with customers in a more human way. Often, the more these systems can interact with humans, the more they learn.

A handful of robotic systems are now being sold as open-source systems with AI capability. This way, users can teach their robots to do custom tasks based on their specific applications, such as small-scale agriculture. The convergence of open source robotics and AI could be a huge trend in the future of AI robots.

When working together, robots are smarter, more accurate and more profitable. AI has yet to come close to reaching its full potential, but as it advances, so will robotics.

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Experts’ Opinion On Cobots: How Collaborative Robots Are Creating New Jobs?

Robots

Much of the current discussion on automation is of the “robots-killing-jobs” variety. This alarmism is unsurprising. After all, most research to this point has focused on the introduction of robots into manufacturing, or on computer algorithms that automate routine tasks. These are changes that have replaced and will continue to replace, jobs that many workers, families, and communities have historically depended on. But if history is any guide, the technologies adopted in the workplace of the future may be quite different than those that were initially dominant. As Daron Acemoglu and Pascual Restrepo (2019) suggest, the future of work and the workforce will depend on the balance between labor replacing technologies – those that supplant human brawn or rote repetition – and, in their language, labor reinstating technologies, that generate new tasks at which humans have a comparative advantage, noted Brookings.

Such balance can be formed through the emergence of collaborative robots or cobots. But some still fear that even cobots can replace human jobs as well. Let’s explore what is the view of experts over this.

Shelley Fellows, Vice President of Communications at Windsor, Ont.-Based AIS Technology Group

Technology is often blamed for replacing humans in the job market but when Shelley Fellows looks at a collaborative robots — a cobot — she sees the result of highly paid, highly skilled labor. “I see the mechanical designer who designed the tooling at the end of that robot arm… I see the workers who fabricated that tooling. I see the electrical designer and the engineers who designed the electrical system and the circuitry. I see the programmers who programmed the controls. I see the vision system designer and the programmer for the vision system.”

“I see all of those highly skilled people; and without them, you wouldn’t see that robots on the factory floor.”

Linda Hasenfratz, CEO, Linamar Corp.

“While robotic technology kills certain jobs, automating the more monotonous tasks typically leads to more interesting, better-paid positions… Between 2012 and 2019, the Guelph, Ont.-based parts supplier increased employment in Canada by almost 40 percent, but the payroll was up 60 percent. Most of the increase in employment occurred in jobs such as engineer and programmer.”

“I think that is an interesting evolution, and it is a win-win all around, but that does have implications for our education and training system… We have an increased need for people in engineering, technology, math, the trades. We need to make sure we are graduating people with more skills.”

The collaborative robots also help ease a chronic labor shortage plaguing the parts industry, Hasenfratz said.

“We have got huge shortages and need for people in all of these areas… By automating tasks that are more repetitive, the industry can shift its workforce into the higher-value jobs, Hasenfratz said.

William Melek, Director of the University of Waterloo’s Ontario Robotics Research Center, RoboHub

“Making this happen will require a collaborative ecosystem of industry, researchers, policymakers, and advisers working together to address everything from workforce training to safety policies for working around collaborative robots, as well as encouraging their development and evolution.”

“We can’t be working in isolation,” he said.

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Use of Robots for Combating Coronavirus

The epic coronavirus that initially showed up in mainland China has now spread over the world, with more than 82,000 reported cases and almost 3,000 deaths, as of last week. What’s more, right alongside the outbreak is the deployment of myriad types of AI-powered tech that is now being put on full display.

New innovation like infrared thermometers, possibly unreliable devices known as “thermometer guns” are getting progressively typical in China, where health laborers normally check individuals’ temperatures. To some degree in the background, in any case, increasingly modern technology fueled by artificial intelligence is assisting with distinguishing coronavirus symptoms, finding new treatments, and track the spread of the disease. In the meantime, robots are making collaborations with and treatment of debilitated patients simpler. Powerful surveillance tech, including facial recognition empowered cameras and drones, is additionally helping discover individuals who may be wiped out or who aren’t wearing masks.

In an offer to limit individual-to-individual contact, artificial intelligence-powered devices equipped with thermometers and cameras are taking patients’ vitals and helping doctors determine individuals to have the sickness from a sheltered distance. Others are being utilized to sanitize clinic rooms and even planes.

One such machine is the Temi robot. Created by an Israeli organization, Temi is three feet tall and highlights a touchscreen, Amazon’s Alexa innovation, a built-in sound system, a plate for charging telephones and an autonomous navigation system that permits it to move around all alone while staying away from obstructions.

Coronavirus is infectious and difficult to contain, which implies that it’s more secure for some human-to-human interactions to be done remotely. Both in hospitals and out in the public, remote correspondence implies that patients abstain from transmitting the illness and health laborers spare time on basic assignments.

Close to Seattle, for example, a robot helped doctors treat an American man diagnosed with the novel coronavirus. The robot, which carried a stethoscope, helped the patient speak with medical staff while constraining their own exposure to the disease. Self-driving vehicles are in any event, delivering supplies to medical workers in Wuhan. As CNN noticed, the Chinese e-commerce company JD.com has been moving packages short distances to a hospital.

Flying robots, otherwise called drones, are additionally in the blend. Shenzhen MicroMultiCopter said in an announcement not long ago that it is deploying drones to patrol public places, spray disinfectant, and conduct thermal imaging. Chinese authorities have utilized drones to follow whether individuals are going outside without wearing face masks or damaging other quarantine rules.

Charged as the world’s first affordable personal robot (it costs $1,999), Temi is as of now operational in various divisions, among them healthcare, hospitality, enterprises, retail and education. It was as of late recorded in TIME Magazine’s 100 Best Inventions of 2019.

Robotemi which is currently headquartered in Shenzhen, China chose to add uncommon accessories to the machine, including a thermometer to check individuals’ temperature and a plate to tray to carry food and drink to patients under quarantine. Temi likewise permits patients to speak with friends and family. Temi is already deployed in a couple of medical clinics in Hong Kong, South Korea and China. It permits doctors to visit these patients without being in contact with them.

Up until this point, many Temi robots have been drafted for work in hospitals, air terminals and elderly-care homes. The machine is likewise being put to use in workplaces all through China to check arriving employees for fever, one of the most unmistakable manifestations of COVID-19. If a medical problem is distinguished, Temi guides the worker to a doctor’s office to abstain from contaminating colleagues.

The coronavirus scourge has likewise inspired facial recognition companies to coordinate their tech with thermal imaging. This kind of checking is being utilized to detect whether individuals may have raised temperatures, which may demonstrate whether they’ve been tainted with the coronavirus and help confirm their personality. SenseTime is selling thermal imaging-empowered facial recognition, as is Sunell, another China-based video surveillance organization, as indicated by an official statement.

In the meantime, in Thailand, a biometric border screening system is currently utilizing fever-recognizing cameras, as per the organization giving that innovation, Germany-based Dermalog.

Regardless of whether deployed in hospital rooms, office buildings or airplanes, industry leaders accept the healthcare industry will come to depend increasingly more on robots in the coming years. Effectively utilized for aiding medical procedures and apportioning meds, autonomous machines are required to make life simpler for medical staff by giving data and different services to patients in a timely manner.

From multiple points of view, these fresher, further developed innovations stand to help battle the coronavirus episode. But on the other hand, there’s something tragic about an outbreak being utilized as a support for more surveillance.

Advocates of surveillance tech focus around dangers to people’s safety and property, highlighting “perilous” individuals like terrorists and sex offenders. Less frequently, however, do defenders of this innovation point to the dangers related to a potential pandemic. However, presently pundits of surveillance tech, who have commonly contended that the innovation compromises our civil liberties and sometimes doesn’t even work will probably need to push against an alternate contention: extreme dangers to public health. It’s at last misty how the public will respond to the shifting role of surveillance.

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Soft Robotics Vs Hard Robotics: How Are They Different?

Robotics

The experts believe that there is no commonly agreed definition for robotics, they define it as the science and engineering of devices which are reprogrammable, multi-functional, multi-purpose and versatile systems intelligently linking sensing to action. This definition can be extended to soft robotics as the science and engineering of the robots primarily made of soft materials, components and monolithic active structures such that they can safely interact with and adapt to their immediate environment better than the robots made of hard components. Soft robots, that are sometimes called biologically inspired robots, offers unprecedented solutions for applications involving smooth touches, safe interaction with humans, manipulating and grasping fragile objects, crops, and similar agricultural products. Soft robots can be in the form of robot manipulators, grippers, medical robots, agricultural robots, rehabilitation robots and similar, depending on the application.

As noted by a report, robots can be made of a number of rigid links connected to each other with a single degree of freedom rigid or elastic joints, like hyper-redundant manipulators or invertebrate-like robotic topologies, where each joint is controlled independently to realize a task or purpose. This is a classical approach that has been used in many robotic designs and is commonly known as Hard robotics. However, this approach requires intricate algorithms to control (i) the position of each link and whole robot and/or (ii) the contact force during the physical interaction and interface of the robot with its environment. In line with recent progress in soft smart materials or electro-materials and additive manufacturing techniques, the soft robots consist of a monolithic (i.e. whole) body containing actuation and sensing elements, mechanical structure, energy storage units with a minimum foot-print. Such robots are expected to change their effective stiffness in order to provide a desired force or compliance when interacting with their environments including physical interaction with humans.

Let us understand the characteristics of soft and hard robotics systems.

• Where on one hand soft robot-systems are made of flexible, stretchable materials with reversible and variable properties, on the other hand, hard robotics systems are made of hard materials with invariable properties.

• In soft robotics systems, inherent compliance matches its environment whereas in hard robot-systems smooth contact with its environment facilitated by advanced feedback control strategies and sensors.

• The report suggests that the continuum topology with infinite degrees of freedom (DoF) seamlessly housing all of soft robotics systems’ essential elements. Contrary to that, in hard robotics systems, discrete topology with a finite degrees of freedom consisting of rigid elements connected to each other with single DoF joints.

• While soft robotics systems are inherently safe adaptive and tolerant to operate in unknown environments, especially for human-machine interaction, the other one is considered unsafe and intolerant with limited adaptability to operate in unknown environments unless intricate control measures are applied.

• While the former has flexible and stretchable electronics and power sources, hard robotics systems have conventional electronic and power source.

• Soft robot-systems possess high-level behavioral diversity, high level of bio-inspiration, can tolerate low accuracy, low speed, and force applications and is of low weight and cost.

• Hard robot-systems have a low level of behavioral diversity, low level of bio-inspiration, high accuracy, high speed, and force application and high weight and cost.

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Top Robotics Jobs and Salaries in India in March 2020

Robotics

The field of Robotics these days has become prevalent across diverse industries, revolutionizing the world with very different engineering areas and skills. Robotics deals with the design, construction, operation, and use of robots, along with computer systems for their control, sensory feedback, and information processing. The sector has the potential to positively transform lives and businesses, raise efficiency and safety levels and provide enhanced levels of services.

Decades ago, robotics was a thing of science fiction, and any consideration of the types of jobs in this field seemed a future thing. However, as the advancements in technology continue to rise, the sector will proliferate rapidly with several job opportunities. As more and more people are looking to work with robots and embedded intelligence, jobs in this field will continue to rise.

So, let’s have a look at some of the top robotics jobs and salaries in India in March 2020 creating huge opportunities for professionals as well as newcomers.

Adobe

Adobe, a computer software company, is changing the world through digital experiences. Based in San Jose, CA, the company offers a wide range of products including Graphic design software, Web design programs, Video editing, animation, and visual effects, eLearning software, and much more.

Job Title – Software Engineer

Salary Range (Per year) – INR 7,00,000 – 1,620,000

MathWorks

Mathworks is a producer of MATLAB, a program for data and statistical analysis. The company develops and supplies technical computing and model-based design software for engineers, scientists, mathematicians, and researchers.

Job Title – Software Engineer – Embedded Deep Learning

Salary Range (Per year) – INR 6,32,000 – 1,742,000

Amazon

Amazon is a Seattle-based technology company, which focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. The company is known for its disruption in well-established industries through technological innovation and mass scaling.

Job Title – Software Engineer

Salary Range (Per year) – INR 3,14,000 – 2,560,000

NVIDIA

NVIDIA develops integrated circuits for use in motherboard chip-sets, graphic processing units, and game consoles. The company has pioneered a supercharged form of computing liked by the most demanding computer users in the world.

Job Title – Senior Test Developer – Robotics

Salary Range (Per year) – INR 1,136,000 – 3,400,000

Micron Technology

Micron Technology, a semiconductor company, which produces DRAM, SDRAM, flash memory, SSD and CMOS image sensing chips.

Job Title – IT – Robotic Process Automation (UIPath) Support Engineer

Salary Range (Per year) – INR 1,005,000 – 2,154,000

Rapyuta Robotics

Rapyuta Robotics is a global technology startup, which develops cloud robotics solutions. The company aims to build low cost, lightweight autonomous mobile robots with high-level intelligence distributed in the cloud, enabling such robots to offload some of their heavy computation and seamlessly learn and share experiences with one another.

Job Title – Software Engineer – Robotics

Salary Range (Per year) – INR 2,067,000 – 2,251,000

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Growing Importance of Automation and Robotics in Manufacturing & Supply Chain

Autonomous robots are in a growing class of devices, consisting of drone aircraft (aerial robots) that can be customized to perform tasks with next to zero human mediation or interaction. They can shift fundamentally in size, functionality, mobility, dexterity, artificial intelligence, and cost, from robotic process automation to flying vehicles with ground-breaking picture and information capturing capacities. Progressively, autonomous robots are programmed with artificial intelligence to perceive and learn from their environment and settle on choices independently.

Autonomous robots are characterizing the supply chain of the future by helping organizations decrease long-term costs, provide labor and utilization stability, increase worker productivity, reduce error rate, reduce the frequency of inventory checks, optimize picking, sorting, storing times and increase access to difficult or dangerous locations.

Robots have a long history of keeping the supply chain moving. Truth be told, one of the world’s first industrial robots was made for the sole purpose behind transferring objects starting with one spot then onto the next. Today, most tasks that are indispensable to the supply chain, similar to the movement of products through a warehouse, rely on robots as standard.

Think about Automated Guided Vehicles (AGVs) for instance. These convenient robots use markers, magnets and vision systems to explore a warehouse floor. The machines can move faster than a human laborer, moving merchandise from one place to another without the requirement for any intercession. Furthermore, they are not confined to the weight limits that a human worker could be fit for lifting.

Autonomous robots are required to see solid development over the following five years, especially within supply chain operations that incorporate lower-value, possibly risky or high-hazard tasks. Autonomous robots have a solid presence as of now in manufacturing, final assembly, and warehousing, for instance. The store chain of the future is probably going to see the continued growth of autonomous robots in these regions, permitting individuals to move to progressively strategic, less dangerous, and higher-value work.

Autonomous robots will be increasingly omnipresent in the store chain of future advances because they work with progressively human-like abilities. For instance, enhancements in haptic sensors, those identifying with the feeling of touch, will permit robots to grasp objects extending from delicate eggshells to multi-surfaced metal assembly parts without changes in programming or robotic components.

As autonomous robots become progressively modern, the arrangement times are diminishing, they require less supervision, and they can work next to each other with their human partners. The advantages are extending as autonomous robots become fit for working independently nonstop with progressively predictable levels of quality and productivity, performing tasks that humans cannot, should not, or do not want to do.

As the market for autonomous robots develops, the end-to-end supply chain operations alignment will turn out to be progressively fluid. Right now, numerous organizations utilize autonomous robots for targeted functions in the supply chain, piloting various robots to verify gains. As imaginative organizations develop and grow operations, robots that build robots could be one of the future trends in the supply chain, turning into the standard for enhancing manufacturing tasks.

Later on, it’s conceivable that what could be portrayed as the “traditional linear conveyor system”, or production line, will to a great extent vanish. It’s most likely hard to envision that, yet the option as of now being inquired about is fairly intriguing. Research is being led by different organizations into the future of automotive manufacturing, and one situation being explored includes autonomous mobile robots carrying vehicles through the production procedure, starting with robotic cell to another.

One robotic cell may install the electronics system, another put in the motor, at that point another welding the body parts together, and others doing things like get together, painting, etc. This “robotic cell-based process” may bring about the autonomous mobile robot carrying the vehicle in a wandering manner through the plant, though now, we principally observe a straight production line.

Introducing conveyor systems and a linear production line is more costly than utilizing autonomous mobile robots since its fixed infrastructure costs more to develop. Autonomous mobile robots don’t require any fixed infrastructure to be set. Every little thing about them – from the machines themselves to their charging points is moveable.

Another large advantage of what might be called the “flexible production” line including autonomous mobile robots is that it empowers manufacturers to change designs in any way, shape or form. Reasons may incorporate finding and implementing processes that are increasingly effective and changes in product or system design.

Generally, changing a fixed-infrastructure operation includes enormous cost and a great deal of time. It should be included, notwithstanding, that there might be advantages to having a fixed infrastructure that autonomous mobile robot-based system will be unable to beat, speed is one of the biggest. Nonetheless, autonomous mobile robots are getting quicker and greater. Some have payloads moving toward three tons and they may get modular in that robotic arms could be joined to them.

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Top 10 Robotics Engineering Universities and Courses in 2020

Today, robots as the automated machines, have become a huge part of our lives in an effort to help people in an assortment of settings, from assembling processes to working in complex conditions, unsatisfactory for human life. Moreover, robotics as a field has penetrated a number of industries to accomplish assorted tasks by structuring mechanical devices. The upsurge in technological advancements and demand for robotics professionals in the market has mandated the applicable education of budding tech-enthusiasts. Robotics has been undergoing rapid development, so studying won’t be easy as you may think. However, significant universities are offering innovative and all-inclusive robotics programs to train the future of technology.

Here is the list of top 10 robotics engineering courses and universities that are redefining the face of robotics education.

University of Pennsylvania in Philadelphia

Course: Master of Science in Engineering in Robotics

Department: Mechanical Engineering and Applied Mechanics

Description: The master’s program in Robotics is a unique program administered by Penn’s General Robotics, Automation, Sensing and Perception (GRASP) Laboratory, recognized as one of the nation’s premier research centers. Multi-disciplinary in scope, the program provides an ideal foundation for what today’s experts in robotics and intelligent systems need to know — from artificial intelligence, computer vision, control systems, dynamics, and machine learning to design, programming and prototyping of robotic systems.

Worcester Polytechnic Institute of Massachusetts

Course: Master of Science in Robotics Engineering

Department: Robotics Engineering

Description: WPI’s MS in Robotics Engineering program is a leading, first-of-its-kind graduate program in the nation and an internationally lauded academic program. And for all the serious research that goes on here, the institute encourages imaginative and creative work with robots. On a campus located in the heart of New England’s robotics industry, you’ll work on innovative robotics projects from the get-go alongside influential and renowned faculty in its state-of-the-art labs.

Carnegie Mellon University

Course: Master of Science in Robotics Systems Development

Department: The Robotics Institute

Description: The MRSD curriculum provides a broad education in the sciences and technologies of robotics, reinforces theory through hands-on laboratory projects and exposes students to practical business principles and skills. The unique curriculum allows students to work as a team towards practical system-level robotics development and integration projects. Key business concepts and practices in the curriculum include technology planning, product conceptualization and development, team management, project management, prototyping, production, marketing, and sales.

University of Sussex

Course: Mechanical Engineering with Robotics MEng

Department: Engineering and Robotics

Description: The Master of Engineering (MEng) degree lets you specialize your degree with a range of options and provides you with the educational requirements needed to become a Chartered Engineer. On this course, you have the opportunity to develop specific expertise in robotics alongside skills in mechanical engineering; making you employable by various sectors, from robot design and development to autonomous cars, robotics, automation, mechatronics, automotive, aerospace, and renewable energies. The institute’s world-class research in robotics, dynamics and control, space systems, sensors, and flexible electronics informs its degrees to give you the best start in your career.

University of South Denmark

Course: MSc in Engineering – Robot Systems (Advanced Robotics Technology/Drones and Autonomous Systems)

Department: Engineering

Description: As an MSc in Engineering in Robot Systems you can take part in the development that occurs within drone- and robot systems. You can, for example, develop robots with artificial intelligence that recognizes different people and adapt to their needs – in hospitals, in industry, and in private homes. Or you can work with drones (Unmanned Aerial Systems) which inspects powerlines or buildings, helps in agriculture, delivers blood samples to hospitals or find people who have been injured in natural disasters.

Vilnius Gediminas Technical University

Course: Master of Engineering Sciences in Mechatronics

Department: Faculty of Mechanics

Description: To prepare high qualification graduates with deep comprehensive and up-to-date knowledge in mechatronics including mechanical engineering, information technologies, mechatronic systems, and mathematical modeling. To prepare specialists with analytical, modeling and projection skills in manufacturing and process management of mechatronic systems with their parameters optimization as well as the specialists having mechatronic problem-solving skills applicable to research. To provide students with the knowledge which is required to accomplish not only the tasks of projecting, researching and performing technologic-manufacturing jobs but also needful for executing the expert-consultative or supervisory functions in the mechatronic companies and organizations.

École Polytechnique Federale De Lausanne (EPFL)

Course: Master’s Degree in Robotics

Department: Robotics

Description: This program provides education on the theory, technology, and practice of intelligent robots, such as mobile robots, wearable robots, robotic manipulators, autonomous and brain-interfaced robots. In addition to classes spanning from electromechanical systems to advanced artificial intelligence, the program offers a large set of hands-on activities where students learn by designing, prototyping and validating robotic systems. Both core and optional classes include hands-on exercises aimed at applying theoretical aspects to real systems. In addition, for the semester and interdisciplinary projects, as well as the final master’s thesis, students work with researchers on challenging problems within EPFL robotics laboratories or in the industry.

Colorado State University

Course: Materials Science and Engineering (M.S.)

Department: Materials Science and Engineering (M.S.)

Description: Materials Science and Engineering (MSE) research is aimed at educating and training the next generation of out-of-the-box thinkers to solve the biggest global challenges. By fostering a multidisciplinary approach, MSE degree programs strive to endow students with the tools to strategically question current design paradigms and drive innovative materials and manufacturing solutions across a diverse range of technological sectors. Motivated by modern materials challenges in energy, computing, transportation, impact protection, robotics, and global health care, MSE programs’ comprehensive, experiential training is designed to arm graduates with a modernized skillset tailored to confront those challenges head-on.

University of Michigan, Ann Arbor

Course: Master of Science or Doctorate in Robotics

Department: Robotics

Description: Michigan Robotics offers Masters and Ph.D. degrees. Both programs are built on a common set of course requirements, with Ph.D. students also completing research published in leading journals in the field of robotics. The Michigan Robotics program consists of three main technical areas, which converge as students produce functioning robots: Sensing of the environment, external agents, and internal body information to determine state information; Reasoning with that information to make decisions for guidance, control, and localization; and Acting upon the body and environment to produce motion or other outputs that enable the robot to locomote or interact with the environment. Each of these areas may be considered a sub-plan for coursework and research study.

University of Maryland

Course: Master of Engineering and Graduate Certificate in Engineering programs

Department: Office of Advanced Engineering Education

Description: As one of the fastest-growing fields within technology and engineering, a graduate degree in robotics offers you career opportunities in diverse industries, including aerospace, manufacturing, defense, and even healthcare. The University of Maryland’s Master of Engineering and Graduate Certificate in Engineering programs bring together engineering professionals who have a passion for discovering robotics’ potential to benefit society. The institutes curriculum is designed to build understanding and expertise in robotics design, modeling, control systems, autonomous robotics, machine learning, computer vision, and human-robot interaction.

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Top 10 Robotics Investments/Funding in February 2020

Robotics

Robotics has a huge potential to contribute to growth, job creation and solving major societal challenges. Regions should fully exploit potential in terms of contribution to local economies, for instance, advanced robotics technologies with increased flexibility can play a key role in making local manufacturing and production competitive again, and also contributing to a greener economy, with the potential to re-shoring some industries (e.g: food supply). The health and monitoring domains also show great potential at the regional level, since these cannot be delocalized. Therefore, it becomes a necessity to provide resources to those who have innovative potential to foster robotics as a field.

Several robotics companies are securing great deals to enhance their business prospects along with some great innovations to transform the industry operations. As noted by Robotics Business Review, here are the top 10 robotics investments/funding in February 2020.

Temi

Israeli AI personal robot company Temi Global Ltd. has closed a US$15 million financing round led by the Chinese venture capital firm Joy Capital and John Wu who has invested over US$ 30 million to date in temi. The company says it will use for marketing and sales initiatives of its Temi intelligent, mobile, personal robot. Temi CEO and cofounder Gal Goren said, “This investment is aligned with our company’s strategy to broaden our global business with worldwide partnerships while transitioning to rapid growth in our robot and software services sales.”

Robotics Skies

Robotic Skies, Inc., an Alabuquerque, N.M.-based maintenance network for commercial unmanned aircraft systems (UAS), received a strategic investment from CerraCap Ventures. The amount of the deal was not disclosed. The company intends to use the funds for continued growth and technology development. Led by Brad Hayden, CEO, and Founder, Robotic Skies a global network of commercial UAS maintenance Service Centers. It provides turnkey maintenance solutions designed to scale with the needs of unmanned aircraft manufacturers and enterprise operators.

The Columbus

Ready Robotics raises funding for Forge O/S robot arm software. Ohio-based company said that it had raised US$23 million, led by Canaan, to expand its robotic O/S. The startup counts major manufacturers like Stanley Black & Decker and Smith+Nephew as customers, as well as smaller shops that would not otherwise be able to automate. The new funding brings Ready Robotics’ total investment to US$42 million at a valuation that Forbes estimates at US$70 million, up from US$32.5 million after its last round, according to venture-capital database PitchBook. “Factories are hungry for robotic automation, but there are only 32,000 robotics engineers employed in U.S. manufacturing today and there are not enough systems integrators,” Gibbs, the company’s 37-year-old CEO, told Forbes.

Pony.ai

Fremont, Calif.-based Pony.ai announced that it has raised US$462 million in funding. Pony.ai was founded in 2016 by James Peng, who is now CEO, and Tiancheng Lou, who is now chief technology officer. Both of them worked previously at Google and Baidu. The startup, which has facilities in the U.S. and China, has developed a perception module that it said “combines the strengths of a heuristic approach and deep learning models,” as well as sensor-fusion technology. Toyota led Pony.ai’s latest fundraising round, which brings the self-driving startup’s valuation to more than US$3 billion, reported Reuters. It also participated in previous rounds.

Mayomo

Myomo announced that it closed its previously announced underwritten public offering of common stock or common stock equivalents for gross proceeds of US$15 million. The offering included more than 2.1 million shares of Cambridge, Mass.–based Myomo’s common stock or equivalents, along with an equal amount of investor warrants to purchase one share of common stock at a combined offering price of US$7 per share.

Digital Surgery

Medical technology leader Medtronic PLC announced that it has acquired Digital Surgery, a privately-held pioneer in surgical artificial intelligence, data and analytics, and digital education and training. Medtronic said the purchase will strengthen its robot-assisted surgical platform and its broader portfolio. The terms of the acquisition were not disclosed. Dublin, Ireland-based Medtronic has more than 90,000 employees worldwide, serving physicians, hospitals, and patients in more than 150 countries. Last fall, the company unveiled its Hugo robotic surgery system.

Freight Farms

The Boston startup Freight Farms that builds automated farm systems in shipping containers raised US$15 million in a Series B round led by New York City-based Ospraie Ag Science, which invests in agtech companies. Existing investor Spark Capital also participated in the round, which brings the company’s total funding to more than US$28 million. Freight Farms runs a network of smart farms across 44 states and 25 countries. Each smart farm called a “Greenery” is housed in a 320-sq.-ft. hydroponic shipping container. These vertical farming containers are all linked to the startup’s data platform, Farmhand.

Small Robot Company

Small Robot Company, which makes precision agricultural robots, confirmed that 7 percent Ventures has invested £200,000 (~ USD 259,000) in the company and is now Small Robot’s lead investor. Small Robot is running its equity crowdfunding on CrowdCube and has raised £2,003,880 (USD 2,596,000) from 1670 investors so far. What is not known right now is whether 7 percent’s money is included among that tally, or if it’s a separate investment.

Kadho

Roybi, the maker of a pill-shaped robot to teach language and math skills to young children, has acquired additional technology to power its educational features. The Mountain View, Calif.-based company has acquired the KidSense artificial intelligence engine developed by Kadho. Financial terms of the deal were not disclosed. Based in Irvine, Calif., Kadho has spent the past five years developing the KidSense engine, which recognizes children’s speech and is based on speech and voice data from about 150,000 children, according to Roybi CEO Elnaz Sarraf. Developed with experts in language development, the technology covers languages including English, Mandarin, and Korean. It can also account for regional dialects, she claims.

Sensible4

Finnish autonomous driving technology pioneer Sensible 4 has raised US$7 million in their series A funding round that will see the company market expansion to Europe and Asia. Sensible 4’s first investment round was led by NordicNinja VC, over €100 million Nordic deep tech fund backed by Japanese tech companies and ITOCHU, one of the largest Japanese trading companies. The Finnish technology startup specializes in autonomous driving software for demanding and harsh weather conditions. Challenging weather and limited sensor visibility have long been a problem for driverless vehicles. The company’s solution — which is first in allowing for self-driving in snow, fog and heavy rain — has attracted growing attention from major automotive players since the startups’ inception in 2017.

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