Рубрика: Robotics

Have you heard of the term Roboticized Economy? That is what every country aspires to become through the fourth industrial revolution. On one hand, America and China like powerful nations are moving towards gaining AI (Artificial Intelligence) Supremacy, many countries across the globe are adopting robotics enabled culture at a wide scale. And COVID-19 pandemic has provided an edge to its extensive applications. Subsequently, owing to the rising popularity of machines and software, several governments are investing a hefty sum into their research and development work.

According to a recent research study presented by the International Federation of Robotics, various governments are funding research programmes. Professor Jong-Oh Park, vice-chair of the International Federation of Robotics (IFR) Research Committee and member of the Executive Board said, “Each country has its own characteristics of robot programmes based on its specific background and history… Therefore, we see that robotics programmes set up by the most advanced robotics countries have a very different strategic focus.

As noted by the Manufacturer, here are some of the government-driven robotics R&D programmes

China

The strategic plan Made in China 2025 serves as a blueprint to upgrade the manufacturing capabilities of Chinese industries. This includes an investment of advanced robots among the top 10 core industries.

The Robot Industry Development Plan sets out the goals for China in 2020, including:

• developing three to five globally competitive robot manufacturers,

• creating eight to 10 industrial clusters,

• achieving 45% of domestic market share for China’s high-end robots,

• increasing China’s robot density to 100 robots per 10,000 workers.

• China reached a robot density of 140 units per 10,000 workers in the manufacturing industry in 2018, according to IFR data.

Furthermore, in 2019, the Chinese government invested US$577 million in the development of intelligent robots.

Japan

The New Robot Strategy in Japan is a key policy of the Abenomics Growth Strategy. The robot-related budget for 2019 has been increased to US$351 million, with the aim to make Japan the robot innovation hub in the world.

The action plan includes manufacturing as well as important service sectors like healthcare, agriculture, and infrastructure.

According to IFR’s data, Japan is the world´s number one industrial robot manufacturer and delivered 52% of the global supply in 2018.

South Korea

The Intelligent Robot Development and Supply Promotion Act of Korea is pushing to develop the robot industry in Korea as a core industry in its Fourth Industrial Revolution.

The third basic plan for Intelligent Robots published in 2019 promotes systematic selection and concentration of promising public and private sectors.

Focus areas include manufacturing businesses, selected service robot areas (including healthcare and logistics), next-generation key components, and key robot software.

The robot-related budget for 2020 is US$126 million (₩ 151bn).

IFR data shows a new record stock of circa 300,000 operational industrial robots in the Republic of Korea in 2018 (+10%). In five years, the country has doubled its number of industrial robots in operation. Following Japan and China, the country ranked third in 2018.

Europe

Robotics projects funded by Horizon 2020, the European Union´s eighth Framework Programme, represent a wide variety of research and innovation topics – ranging from manufacturing, commercial, and healthcare use to consumer, transportation, and agri-food robotics.

Through this programme, the European Commission provides an estimated US$780 million in funding for robotics research and innovation over its seven-year runtime.

The main topics of the Work Program 2018-2020 are related to digitization of industry through robotics, robotics applications in promising new areas, and robotics core technologies such as AI and cognition, cognitive mechatronics, socially cooperative human-robot interaction, and model-based design and configuration tools, with the total budget of US$173 million.

Germany

As part of its High-Tech Strategy, Germany supports the use of new digital technologies within industry and administration.

The PAiCE programme with a funding budget of US$55 million (€50m) over five years emphasizes the development of digital industry platforms as well as collaboration between companies using these platforms.

In particular, the robotics-oriented projects are focusing on the creation of platforms for service robotics solutions in the various relevant application areas including service, logistics, and manufacturing fields.

Germany is the fifth largest robot market in the world and number one in Europe, followed by Italy and France. In 2018, the number of robots sold increased by 26% to almost 27,000 units – a new all-time record.

America

The National Robotics Initiative (NRI) in the US was launched for fundamental robotics R&D supported by the US government.

The main goals focus on fundamental science, technologies, and integrated systems needed to achieve a vision of ubiquitous collaborative robots assisting humans in every aspect of life.

Moreover, in NRI-2.0, the collaboration between academia, industry, non-profit, and other organizations is encouraged. The budget of NRI for 2019 was US$35 million.

Additional robotics funding for application in defense and space is provided through the Department of Defense (DoD) and the Mars Exploration Program.

According to IFR data, robot installations in the US increased for the eighth year in a row to a new peak in 2018. Regarding annual installations, the country has taken the third position from South Korea.

The post How Governments Are Sanctioning Green Signal to Robotics R&D Advancements? appeared first on Analytics Insight.

As per the Indian education system, one must be very clear of the major they are willing to choose for their graduation. Specifically, in STEM education, as more and more technologies are growing at a fast pace with increased demand in the market, students must be aware of the consequences of their choices – both positive and negatives. They need to understand what a subject or major has to offer to their career. And looking at the recent market graphs, we can say a career in robotics through robotics engineering can be a fruitful one.

Robots are used in different industries for various tasks such as welding, painting, assembly, disassembly, packaging and labeling, palletizing, product inspection, and testing, etc. It helps businesses improve cost, efficiency, and performance.

Robotics in India is making its space in various sectors. Initially used in automotive industries, the requirement of robots has increased in sectors including aerospace, agriculture, retail, healthcare, and defense.

Job Opportunities in Robotics

Considering the rising trends, we can easily deduce that the future will have a huge demand for robotics engineers, operators, and technicians. According to an Indeed report, the robotics sector has seen a growth of 191% from 2015 to 2018.

Moreover, those who are willing to pursue robotics programs post their schooling, they have opportunities in different sectors including Research and Development of Robots, Maintenance, Monitoring and Quality Control of Handling Robots or Working and Robots Operators and Technicians.

Furthermore, according to Analytics Insight, the total number of job openings for robotics, globally, is estimated to reach 2,389,071 in 2020 which is further expected to rise up to 3,975,147 growing at a CAGR of 13.7 percent. As of 2020, the average salary of Robotics professionals is predicted to US$22,101/per annum in India.

How to Get Started in Robotics Engineering?

Students can pursue diplomas, bachelor’s and master courses in this field. To become a Robotics Engineer, one has to pursue a degree course in this field as following (as per Indian Education Pattern).

Diploma Course (Four years duration): Diploma in Robotics

Bachelors Courses (Four years duration): Bachelor of Technology (B.Tech) in Robotics Engineering; Bachelor of Engineering (BE) in Robotics.

Master Courses (Two years duration): Master of Technology (M.Tech) in Robotics Engineering; Master of Technology (M.Tech) in Automation & Robotics; Master of Engineering (ME) in Robotics Engineering; Master of Technology (M.Tech) in Remote Sensing & Wireless Sensor Networks.

Top Robotics Institutes in India

Fortunately, there are ample of best institutions and universities offering courses and certifications in Robotics. Here we list the best from the rest.

International Institute of Information Technology, Hyderabad (IIITH)

Location: Hyderabad

Description: IIITH, an autonomous university, founded as a not-for-profit public-private partnership (N-PPP) in 1998 and is the first IIIT in India under this model. The university offers a large variety of programmes – undergraduate, post-graduate, Ph.D. alongside part-time programmes. IIITH has a Robotic Research Lab, aims to work on research problems and innovative projects that extend the state-of-the-art in robotics.

Intake Through: JEE Mains

Indian Institute of Technology, Kanpur (IIT Kanpur)

Location: Kanpur

Description: IIT Kanpur has the Center for Robotics, which offers courses by faculty members from Aeronautical, Computer Science and Engineering, Electrical Engineering, and Mechanical Engineering Departments.

Intake Through: GATE

Indian Institute of Information Technology, Allahabad (IIIT Allahabad)

Location: Allahabad

Description: IIIT Allahabad offers M.Tech. in Robotics through CCMT counseling based on the score obtained in GATE. Candidates for robotics to join in IIITA must complete B.E./ B.Tech. in the relevant stream.

Intake Through: GATE

Manipal Institute of Technology (MIT)

Location: Manipal

Description: MIT offers a Bachelor’s and Master’s program in engineering streams. The institute also offers an M. Tech programme in Industrial Automation and Robotics under its Mechatronics Department.

Intake Through: GATE and MU-OET

University College of Engineering, Osmania University, Hyderabad

Location: Hyderabad

Description: University College of Engineering, Osmania University offers M.E. in Automation and Robotics. Candidates must pass with 50% in graduation and the score obtained in Post Graduate Engineering Common Entrance Test (TS PGECET) or GATE score.

Intake Through: GATE

The post Embark on Your Innovative Journey with Robotics Engineering Education in India appeared first on Analytics Insight.

The British love affair with soft fruits continues to grow over strawberries, blackcurrants and raspberries. The problem? Not enough labourers to pick up the ripe fruit in 2020.

Coronavirus and Brexit have caused an uproar among the United Kingdom’s fruit and vegetable farmers. The annual picking season approaches in May and they all have a grappling problem -not enough seasonal migrants to pick fruit and other crops.

Soft fruits like strawberries, blackcurrants and raspberries, are a staple for many UK consumers. The production of these soft fruits dominates over 90% of the cropping area with produce being consumed in the domestic market and shipped overseas. Coronavirus and Brexit have left this industry uncertainty over the availability of EU migrant workers. Fruit growers across the county side have struggled to secure help to pick this year’s harvest, less than a third of migrant agricultural workers are expected to arrive this year to the farms. Coronavirus lockdown measures have restricted international movement of labour leaving the future of the picking industry in an informal iffy.

Robotic Arms

The country needs about 80,000 agricultural workers annually to pick and pack the soft fruit harvest. COVID-19 restriction is stated to cause a shortfall of 70% of migrant workers this season and the uncertainty continues to grow for the future. Robotic technology has stepped in to solve this threatening seasonal worker shortage.

As a proposed solution, Agri-EPI Centre together with the National Farmers Union, University of Lincoln, and others, with a backing of more than a hundred fresh food producers have formed a consortium to address the ongoing labour crisis. The consortium aims to facilitate the use of robotics and automation (R&A) for picking soft fruit and vegetables. Though the initial trains are on, the consortium aims to manufacture robotic technology and roll it out next year confirmed by the Agricultural Engineering Precision Innovation Centre, one of the coordinators of the project.

Picking Trails

The picking robots who help fruit and vegetable growers to pick the ripening harvest are very much at a trial stage. They have started to pick strawberries and would be extended on farms growing apples, blueberries, lettuce and broccoli.

Soft fruits can get damaged very quickly, thus the picking trials are a more complicated process involving many intricacies. It involves the robot to identify the berries, hidden in between the leaves, precisely localize the stem and cut it without direct contact with the soft fruit to lessen the damage.

Costly Affair

While automation has been explored by fruit and vegetable growers in the past, the development of new technologies is a lengthy process involving many trials and cost overheads. Besides, the deployment of robots needs a complete redesign of farms which are traditionally adjusted for human labour.

Fieldwork Robotics working in autonomous harvesting robot’s technology has trialled a 1.8-metre-tall robot costing £700,000 to develop. The results were very encouraging, the whole harvesting process took only about ten seconds per berry.

The Long Road Ahead

Ali Capper, Executive Chair of English Apples & Pears and chair of the NFU Horticulture and Potatoes Board, states that the agri-food consortium is an ‘excellent initiative’ and one that was ‘long overdue’.

Adding support to the technology, she said, “Growers have an on-going challenge around the availability, cost of and access to seasonal labour, exacerbated by Brexit and now Covid-19,”. “This is a global challenge with many countries around the world facing seasonal labour difficulties. I commend the consortium for their energy in trying to accelerate the use of robotics in the fruit and veg sectors and look forward to being part of the team that brings new robotic solutions forward to British growers and growers.”.

The Agri-consortium has a long way to go, focussing on its five due courses of action for the betterment of the fruits and vegetables grower’s community across the UK.

The post Will Robots Ease Britain’s Migrant Labour Shortage This Fruit Picking Season? appeared first on Analytics Insight.

The Covid-19 Induced Recession Has Severely Impacted Big Data Industry

Every recession in the past and downturn in modern memory has led to the revolution of tech industry incumbents and the rise of new powers. The brutal recession of the early 1980s gave rise to the personal computer era. In the milder recession of the early 1990s, the federal government essentially handed the internet over to the private sector and laid the seeds for the dotcom boom that gave birth to Amazon, while Microsoft pulled off Windows’ victory over Apple.

The Great Recession of 2008-2009 hit the technology industry much less harshly than the rest of the economy. While the industry didn’t experience any major setback, the downturn did propel the rise of social media in the form of Facebook and Twitter.

Now What COVID-19 Induced Recession Has Brought to the Tech Table?

During the recent crisis also, the impact on the technology sector was comparatively lesser than the rest of the economy. While the industry did experience major shocks, the rundown of events has precisely encouraged the proliferation of new-age disruptive technologies like Robotics, Artificial Intelligence, and significant others.

Tech is already at the forefront of helping us deal with various disruptions from the COVID-19 threat, as people use video conferencing and online collaborative tools to work from home. Many of us stream music, video, and games to help us through our self-imposed quarantines. Colleges and schools are forced to deliver their classes online to keep their students safe and isolated.

The tech industry is not recession-proof, however, it is in a much better place to tackle the crisis than the travel industry, for example. In one or the other way, tech is being used as a substitute for travel that’s no longer possible during the COVID-19 emergency.

Impact on Tech Spending & Profitability

Whatever the shape, technology budgets will take a hit, freezing spending, and long-term projects, which creeps up and impacts long-term vendor stability.

Forrester projects three scenarios for the US economy and technology spend:

Scenario A – 30% probability: Best case, the pandemic peaks this quarter, having the largest economic impact in Q2 and Q3, but rebounding in Q4. It would result in US tech spending falling 5% in 2020.

Scenario B – 60% probability: Pandemic and economic contraction last through 2020, with recovery in mid-2021. It would result in tech budget spending cuts of 9% this year and 5% in 2021.

Scenario C – 10% probability: The pandemic recurs and the economic downturn extends into 2021. Deep and long revenue declines would cause companies to breach or renegotiate contracts. “Modeling these impacts is not possible at this time,” Forrester said.

Impact on Data Science and Analytics Industry

As data has become the new lifeblood of every function, most technology-functionalities depend on the nature, maturity, or harnessing of data.

In one of its analysis, MIT Sloan Management Review concluded that demonstrated ROI, or a lack thereof, is likely to be the biggest determining factor in whether organizations will strengthen or contract their data science and analytics efforts. For those data teams that have demonstrated strong, positive ROI, the demand for analytics might increase in a recession.

Based on data from Burning Glass Technologies’ Labor Insight tool on the three-week average for the period that ended April 18, 2020, growth in new US job postings has slowed, with rates of decline varying across industries such as finance and insurance, non-store retail, passenger airlines, and air freight. However, although new job postings in data science and analytics have declined overall, they currently appear to be declining at a slower rate than that of most other occupations. And within the finance and insurance industry, new job postings in the analytics and data science space have actually increased.

Impact on the AI Industry

The unfortunate truth of the global coronavirus pandemic and the AI evolution is that it impacts the most vulnerable people, the low-skilled people in society and the poorest countries the most.

The pandemic is already emptying call centers as AI chatbots are zooming in to replace human call center workers. While call centers have long been a frontier of workplace automation, the pandemic has accelerated the process.

As close to 38 million Americans have lost their jobs due to Covid-19 and some of these jobs might not come back, U.S. companies that are on the cutting edge of AI are only growing ever more powerful.

As noted by Forbes, in the global equity market, the leadership is U.S. equities and within this large-cap U.S. tech and the so-called FAANG stocks. The 5 most valuable companies in the world are increasingly all AI companies. Facebook, Apple, Amazon, Netflix, and Google (Alphabet).

In China, the same situation, Baidu, Tencent, and Alibaba are all AI companies. Alibaba and Tencent in terms of market capitalization are the most valuable China domiciled companies and both are cutting edge AI companies.

Covid-19 only accelerates South Korea’s AI ambitions. Last year, President Moon Jae-in launched a National Strategy for Artificial Intelligence, focusing South Korea’s industrial and educational efforts on the potential opportunities in AI.

Stanford Professor Andrew Ng famously stated, “Data is the new oil, AI is the new electricity.” In a post-COVID-19 world, this could become the new mantra.

Every time there is a major technological disruption, such as AI, it gives us a chance to remake the world. AI is a very advanced technology, yes affecting both developed economies and developing economies. The advice to developing economies is to focus on AI to strengthen a country’s vertical industries and invest in education because AI is still so immature.

Impact on Robotics & Automation Industry

Coronavirus appears to be accelerating the adoption of workplace automation — and the trend is likely to stick around after the pandemic. Adopting robots and AI could keep businesses going during social distancing and reduce health risk to human workers. But with unemployment already at Great Depression levels, many of the jobs lost to automation might never be regained.

Brain Corp, a San Diego-based company that develops software for use in autonomous cleaning robots, reports its customers are employing robots about 13% more than they were in the months before the pandemic.

The autonomous cleaners can do basic cleaning tasks “so that workers can use their time to do essential sanitation,” says Phil Duffy, vice president of innovation at Brain Corp. “Robots are something a lot of our customers are looking at now, and it’s making a big difference.”

Simbe Robotics produces an autonomous shelf-scanning robot called Tally that can audit inventory at grocery stores through computer vision and machine learning. That’s particularly useful for food markets as they struggle to keep products on the shelf during the disruption of the pandemic, says Brad Bogolea, Simbe’s CEO.

Fetch Robotics employs a cloud platform that allows for the rapid deployment of robots in warehouses and similar facilities. With fewer human workers on the job because of social distancing, essential businesses “need robots to help make up the difference,” says Melonee Wise, Fetch’s CEO.

The post The Ups and Downs of Tech Industry During Pandemic Induced Recession appeared first on Analytics Insight.

Successful RPA implementations improve efficiency and build up a bottom-up approach

As indicated by a Deloitte Global RPA Survey from 2018, 1 out of 4 employees answerable for running transactional operations proclaimed that increasing the degree of automation is a top vital need. Most of the respondents have just set out on the automation venture, and by 2020 the number is relied upon to arrive at 72%.

If the procedure proceeds because of current circumstances, RPA will have accomplished near-universal adoption within the following five years. Subsequently, all things considered, you yourself are likewise among the ones who have considered beginning robotic process automation implementation.

Perhaps the greatest advantage of RPA services is it can help organizations regardless of the size of the workforce. Basically, RPA innovation has enough flexibility and scalability to offer to assist present day organizations with increasing the gross output. As an urgent business activity, robotic process automation tools can open the doors of new opportunities for your business. Notwithstanding, it is important for you to deploy it appropriately in the workplace. Studies have discovered that around 30% to 50% of starting RPA projects flop because of different reasons. How can we avoid that?

Define Scope

Like some other task, you have to define the scope for RPA services at your work environment. It is smarter to identify, evaluate, plan, and validate the procedures before allotting them to the robotic process automation provider. robotic process automation solutions can give wanted outcomes giving persistent assessment and upgrade through the procedure lifecycle.

RPA Strategy and Roadmap

Companies with effective RPA teams build clearly defined automation charters that layout solid business goals and objectives that are quantifiable, measurable, and achievable in defined timelines. Making that a stride further, their team members additionally see how their work lines up with that strategy and those objectives. Tapping RPA vendors or consulting partners to see how RPA will fit into their current environment and tweak their guide can be a decent initial step.

Team Awareness

It is one of the most significant parts of the effective deployment of RPA solutions. You have to include your team before and during actualizing automation. You should make them comprehend and accept that RPA services are planned for increasing effectiveness. If you need to use the greatest advantages of customized RPA solutions, you should spread awareness for adopting automation.

Put First Things First

Distinguish the procedures that bode well to be automated first. Try not to begin with a procedure that is very critical or complex. Choosing processes that can give you fast accomplishments is a sure method to get buy-in from senior management and to demonstrate the chosen stage and procedures can be scaled to automate an ever-increasing number of procedures.

Skilled RPA Professionals

Keeping aside the huge claims of RPA service providers, you have to concentrate on recruiting experienced and skilled RPA experts for streamlining daily tasks. The process automation tools are worked to improve the speed and agility of certain tedious procedures. As innovation progresses, AI (Artificial Intelligence) unites with RPA to take automation to another level. Only expert RPA developers can empower you to profit from the benefit of both these technologies in customized software solutions.

Compliance and Security

Both compliance and security should take part to empower robots to access systems and procedures that may include critical information. Effective RPA teams acquire these accomplices ahead of schedule to address concerns around data protection.

Synergize

It’s time we look past competition and collaboration. RPA platforms are extensible, which means you don’t need to fathom each automation challenge with the platform itself. Rather, you can assess integrations with solutions that can supplement the platform’s abilities.

Recognize various methods of tackling an issue and afterwards select the most appropriate solution for your use case. You may discover such solutions in Bot Store, the world’s biggest marketplace for prebuilt intelligent automation solutions. There, you can recognize various automation worked by partner companies to solve the question at hand.

Training

You have various alternatives for boosting training and education: training programs given by vendors, online user communities, or in any event, getting experienced RPA assets from services providers or systems integrators to get things moving while the company prepares its own in-house teams. Vendors are contributing to onboard more certified training partners to offer more noteworthy training flexibility and accessibility to clients.

Calculate ROI

It is always recommended to measure the achievement of automation at your workplace. You can basically join IT and finance by breaking down ROI and documents. It encourages you to dissect the success of an RPA solution and you can stay assured of the way that the automation procedure gives the real value to your organization. When RPA services consolidate RPA with different digital tools, you can get a consistent performance and witness an improvement in efficiency.

Opt for Readymade Solution. New robotic process automation (RPA) solution development takes additional time and requires great assets. In this way, if you want to spare huge amounts of time and money, you ought to go for a ready-made tool. You can straightforwardly deploy such readymade tools in your current ERP framework. However, at that point, it is in every case better to research well to meet vital business needs successfully.

Be Proactive

Educate employees on how RPA implementations will improve their overall work and help build up a bottom-up approach. Urge them to think of RPA use cases that can be automated in their everyday work. Since they’re executing a significant number of the monotonous, manual procedures, employees are best situated to give nitty gritty data about them and be the best judges of where there’s opportunity to get better.

The post 10 Proven Habits of Successful RPA Teams appeared first on Analytics Insight.

Across the world several robotics startups are merging to drive significant innovations.

Running a robotics startup is no easy task. Yet, we are always amazed by the number of robotics startups working on innovative technologies. The companies are working on a variety of products, including autonomous vehicles, mobile robots for construction, toy robots, and software to give robots common sense and make them easier to use. According to The Robot Report, here are the top 10 robotics startups to look out for in 2020.

Covariant

Covariant’s mission is to build the Covariant Brain, a universal AI to give robots the ability to see, reason, and act on the world around them. Bringing AI from research in the lab to the infinite variability and constant change of its customer’s real-world operations requires new ideas, approaches, and techniques.

Success in the real world requires a team that represents that world: diversity of backgrounds, points of view, and experiences. Covariant’s common denominator: ambitious expectations, love of learning, empathy for those around us, and a team-first mindset.

Digital Dream Labs

Digital Dream Labs (DDL) is the leading provider of hands-on educational technology for children ages 4 to 9. The company’s products satisfy the need for engaging, language- and system-agnostic designs that allow pre-readers to interface with both on-screen environments and other devices such as educational robots, smart speakers, and other smart devices, and drones.

Farmwise

Soon, the demand for food will surpass what our current systems can supply. Meanwhile, all around the globe, consumers and governments are calling for more sustainable food. At FarmWise, the team harnesses the power of AI to find solutions to this worldwide challenge and help growers thrive in this new farming era.

The company works hand in hand with growers to understand their constraints, address their priorities, and build products that are changing their lives for good. Farming has always required passion and hard work. Covariant is here to merge age-old farming knowledge with the latest technologies to optimize farming processes and reconcile sustainability with growers’ profitability.

Freedom Robotics

Freedom Robotics is the leading provider of software infrastructure for modern robotics companies. Based in San Francisco, California, Freedom Robotics creates mission-critical software infrastructure to enable the next generation of robotics companies to build, operate, support, and scale robots and robotic fleets. Freedom Robotics is platform agnostic and works with any robot and installs in seconds with just one line of code in order to help robotics companies bring their product to market 10x faster with half the resources.

Outrider

Outrider, the pioneer in autonomous yard operations for logistics hubs, helps large enterprises improve safety, increase efficiency, and optimize their workforce. The only company exclusively focused on automating all aspects of yard operations, Outrider eliminates manual tasks that are hazardous and repetitive. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation by deploying zero-emission systems. Outrider is a private company backed by NEA, 8VC, and other top-tier investors.

Refraction AI

Refraction AI builds and deploys robotic platforms for providing safe and scalable last-mile goods delivery in urban areas. The company picks up goods from places like restaurants, pharmacies, and grocery stores and bring them directly to your house, enabling faster, cheaper, and safer delivery to meet customer’s growing expectations.

Robust AI

Robust.AI is a fast-growing early-stage startup founded by an unsurpassed team of veterans in robotics, business, and AI. Current robots are extremely limited, typically relegated to highly controlled environments, unable to function in dynamic, open-ended environments, and poorly equipped to deal with the unexpected. The company is building an industrial-strength cognitive platform — the first of its kind — to enable robots to be smart, collaborative, robust, safe and genuinely autonomous, with applications in a very broad range of verticals from construction and delivery to warehouses and domestic robots

Scaled Robotics

Construction impacts our daily lives in unique ways. The industry shapes the cities we live in, producing the homes we dwell in and the infrastructure that drives our economies. With 200,000 people a day globally moving to urban areas, the industry must respond to some of the biggest challenges of our time, but it is plagued by waste and inefficiency. At Scaled Robotic, the team is applying robotics and machine learning to build new tools that can track, analyze and optimize the construction process

Southie Autonomy

Southie Autonomy makes automation affordable, easy, and flexible by creating a new way to talk with robots. With a tool called The Wand, anyone can tell the robot what to do in under 10 minutes using simple gestures. NO coding, NO programming, just use The Wand! In manufacturing today, automation can be extremely expensive, time-consuming, and often results in a robot doing 1 task. At Southie Autonomy the team cuts these high costs by at least 50%, with no expert coder or complex installation required. Now, your workers can assign a new task to a robot in under 10 minutes versus the 2-8 hours it takes experts.

XACT Robotics

XACT Robotics is advancing the field of radiology, pioneering the first hands-free robotic system combining image-based planning and navigation with instrument insertion and steering capabilities to democratize percutaneous interventional procedures. The XACT Robotic System is designed to be compatible with a broad range of imaging modalities, capable of delivering various instruments to the desired target with unprecedented Accuracy, Consistency, and Efficiency. Its small footprint and high mobility features, coupled with its ease of use, enable care providers to treat a broad range of patient care needs in multiple clinical sites of service.

The post Top 10 Robotics Startups to Look Out for in 2020 appeared first on Analytics Insight.

Looking at quantum computing-fueled applications of the future, we much of the time look to the innovation’s capability to take care of computationally-intensive mathematical problems, which could lead to breakthroughs in drug discovery, logistics, cryptography, and finance.

A research paper by Bernhard Dieber and different scholastics entitled Quantum Computation in Robotic Science and Applications, researches how quantum computing could augment numerous operations where robots are confronted with intensive computational assignments, where commonly broadly useful GPUs have been utilized to deal with intensive tasks.

While we may not see the appearance of quantum-fueled robots in the coming decade, the paper refers to how the rise of cloud-based quantum computing services and even quantum co-processors (QPUs) could work coupled with traditional CPUs to propel the improvement of much increasingly powerful and smart robots.

Australian physicists state they have adapted methods from autonomous vehicles and robotics to effectively evaluate the performance of quantum gadgets. A University of Sydney team reports that its new methodology has been indicated tentatively to outflank simplistic characterisation of these situations by a factor of three, with a lot higher outcome for increasingly complex simulated environments. Lead creator Riddhi Gupta says one of the hindrances to creating quantum computing systems to useful scale is beating the blemishes of hardware.

Qubits – the fundamental units of quantum technology are exceptionally delicate to disturbances from their environments, for example, electromagnetic noise and show performance varieties that lessen their usefulness.

To address this, Gupta and associates took strategies from old style estimation utilized in robotics and adapted them to improve hardware performance. This is accomplished through the proficient automation of procedures that map both environment of and performance variations across huge quantum gadgets.

Conventional AI, as opposed to current machine learning applications, depends on formal knowledge representations like rules, realities and algorithms so as to improve the robot behavior or copy intelligent behavior.

Artificial intelligence applications are as often as possible utilized in robotics technology, similar to path planning, the derivation of goal-oriented action plans, system diagnosis, the coordination of different specialists, or thinking and reasoning of new knowledge. A significant number of these applications use varieties of ignorant (visually impaired) or informed (heuristic) search algorithms, which depend on crossing trees or diagrams, where every node represents a potential state in the search space, associated with further follow-up states.

Quantum computing can fill in as an option for pretty much every search algorithm utilized in robotics and AI applications and decrease unpredictability. For graph search, for instance, there is a quantum alternative based on quantum random walks.

In robotics, Gupta says, machines depend on simultaneous localisation and mapping (SLAM) algorithms. Gadgets like automated vacuum cleaners are ceaselessly mapping their surroundings and then evaluating their area within that environment so as to move. The trouble with adjusting SLAM algorithms to quantum frameworks is that if you measure, or characterise, the performance of a solitary qubit, you obliterate its quantum data.

Gupta has built up a versatile algorithm that measures the performance of one qubit and utilities that data to assess the capacities of nearby qubits. “We have called this Noise Mapping for Quantum Architectures.,” she says. “Instead of gauging the old-style environment for every single qubit, we can automate the procedure, lessening the number of estimations and qubits required, which accelerates the entire procedure.”

Efforts have been made as of late to illuminate old-style automated tasks utilizing AI as another option. In the quantum domain, quantum neural networks could help take care of issues related with kinematics, or the mechanical movement of robots.

There are reports that state how the two degrees of control in robotics, abstract task-planning, and specific movement-planning which are presently illuminated independently, can be explained in an increasingly integrative way with quantum computing.

Quantum computing could play an important job in enhancing the development of machines, including identifying moments of inertia and joint friction. Such difficulties could be addressed with quantum reinforcement learning, with models that can develop themselves, and with “hybrid quantum-classical algorithms.”

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Farming, being ancient in its craft, would be the last place imagined where robots are concerned. But, it is 2020 and the future is here. The widespread implementation of robots and autonomous farming equipment is keeping agriculture software development services busy. Drones hover where small planes once whipped through. Tractors take on GPS systems similar to that of a plane. Yes, the future is here and robots are on the farm.

Tractors Use GPS to Drive

GPS lends a hand to farmers. Well, both hands actually. Tractors can outright drive themselves, allowing the farmer to sit back and enjoy the outdoors. The GPS tells the tractor where it is, how fast it’s traveling, and deters colliding with objects. There are some pieces of equipment that can be without a human, by following another tractor that has a driver.

Harvesting Robots Handle Small Jobs

Tractors are fine for big jobs, but other tasks need a finer touch. Harvesting robots are designed to delicately pick fruits, vegetables, and other harvestable without damaging the product. There’s still room for improvement in this particular sector but many farms operate using such technology.

RFID Tags Allows Seamless Tracking of Livestock

Technology like RFID is quite useful to a farmer that needs to track livestock for feeding or medical reasons. Where numbers are used manually on a farm, here, a computer can track where a certain animal is at any given moment by tracking certain points of entry into different areas. The tag will communicate and record data when it passes
through a specific area, equipped with receptive technology.

Smartphone Applications for Farmers

Those crops aren’t going to water themselves. Or are they? Farmers can control water and irrigation on a field that’s miles away. Using applications, they can turn water functions on and off using their phone.

Drones Assist in Farming

Drones have an endless amount of use when farming. Drones can be adapted to have plant identifying cameras, fertilize plants, and even plant seeds. Saving time, resources, and optimizing outputs, drone usage is a game-changer for the agriculture industry.

Solar and Wind Energy Power Devices

Planes can be replaced by smaller pieces of equipment that don’t rely on nonrenewable resources like oil. Combing a growing population with continued use of such resources can only result in a negative outcome.

Growing Population Puts Us at Risk

Needing to feed ourselves, we could use all of the resources we have.

Solar and wind power provide energy to items like drones and robots. Receiving energy from the sun and wind is free of charge, and not to mention, they do not need to be renewed. Mother Nature would be pleased.

It seems odd; to combine technology and farming. However, with alternatives emerging out of necessity, more robots feeding plants and drones weeding fields are likely to be seen. More companies will start to employ GPS-driven farm equipment to meet demand.

The possibilities that present themselves from using an agriculture software development service like these cannot be understated. Saving farmers from meticulous tasks, these technologies can be a huge factor in our sustainability long-term with such a high population.

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With the rapid development of technologies, numerous production systems and modes have been progressed concerning manufacturing, management and data fields. There’s another robot around that is moving and shaking things up in a major manner: Autonomous Mobile Robots (AMRs). Otherwise called mobile robots, AMRs are the most recent automation development to change customary robot tasks through increased flexibility and diversified applications. It’s nothing unexpected that with the development of any new technology comes another set of safety requirements, education and learning to follow.

The first AMRs were utilized by NASA in space investigation. Today, they are changing the scene across numerous industrial environments. Through the mobilization of a robot, organizations are increasing flexibility and broadening applications. Additionally, the simple programming and usage of AMRs make them much increasingly appealing to end-users.

The utilization of autonomous mobile robots (AMRs) to move materials through industrial structures is growing. AMRs improve the efficiency of logistics while liberating employees from substantial, dreary and low-value material-moving tasks. While these robots are intended to explore securely around individuals, progressing changes in the market can leave new clients addressing how to ensure a safe installation. Also, the market’s fast development has made it hard for standards organizations to keep up and give guidance. Let’s look at some of the tips while implementing autonomous mobile robots.

Know what you’re buying

AMRs complete their given missions utilizing sensors and software algorithms to move through unique conditions and keep away from hindrances, with some AMRs recomputing their way on the fly. Extensive built-in safety mechanisms permit the robots to explore collaboratively around human associates by easing back down, altering course, or halting to avoid a collision. These safety highlights are critical to the success of AMRs (the mobile robot itself) and AMR frameworks (the AMR, or fleet of AMRs, as well as charging stations, load move stations, and peripherals, for example, top modules that are mounted on the robots). Make certain to ask what security features are incorporated and whether there is a chance to include extra features as technology advances.

Specify a Budget

It is important that organizations decide the true expense of executing an autonomous robotics system. Robots commonly range in cost from $30,000 to $100,000 each, so being intentional in deciding the number required and understanding related expenses is fundamental to prevent spending overwhelms and shock charges. Different charges that must be considered incorporate software, counseling, updates and service contracts.

Applicable Standards in Place

Organizations implementing AMRs should be certain that their robots fulfill existing guidelines that guarantee they work in a manner that doesn’t bring people into risky circumstances. Luckily, as installations increase, worldwide standard associations are updating and creating rules for the safe design, manufacture and commissioning of mobile robots.

Due Diligence

Subsequent to narrowing down providers to the best, not many, investigate their accounts, reputations, and the connections they keep up within their supply chains. Understand reviews and articles on the web. Converse with their current clients. Seek after whatever data you have to settle on an informed and sure choice. When you focus on a platform, it is highly unlikely to change course without losing huge time and money.

Assure your Employees

Prior to introducing your AMRs, ensure your employees, particularly the individuals who will work next to the robots, recognize what’s in store from the robots. If they comprehend that your organization is doing everything conceivable to guard them, from ensuring the AMRs have appropriate safety features built-in like sensors, software algorithms and AI abilities etc. to working with the manufacturer to guarantee updated standards are being followed, any worry about security should quickly dissipate.

With employee safety a top need for any organization, these tips should help give a sheltered environment, one that expects you to work intimately with your AMR producer and integrator to guarantee adherence to developing principles for overall safe mobile robot installation. With the growth in deployments around the world, compromising on safety can be a big mistake.

Maintenance Needs

You will require progressing services to keep up each part of the automation system, software updates, hardware fixes and redesigns, and process improvement. It is additionally essential to keep upgrades top-of-mind. That way, you can use the system and remain focused on ROI and profitability.

The multi-criteria optimization problem of scheduling tasks of the mobile robot is thought of and the mobile robot innovation, associations and correspondences are likewise considered. The principle novelties lie in the scheduling issue with the concurrent thought of soft time windows of tasks and cutoff on carrying capacity of the mobile robot and in the exchange of the mobile robot innovation from a research facility setting to real-world application. Besides, mobile robot innovation and capabilities as well as the path how to utilize the mobile robot prepare for creating and implementing cloud-based manufacturing systems that give an increasingly powerful and flexible nature of asset provisioning and practically immediate access to the assets and abilities, and make it simpler to change or tweak the production with high efficiency, limited downtime and instant reaction according to the demand.

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Analytics Insight, a brand of Stravium Intelligence has named the “World’s 50 Most Renowned Women in Robotics” in its June 2020 special edition.

The issue recognizes the top 50 dynamic women in the robotics industry who are leading their way to unprecedented excellence. These innovative leaders are excelling beyond the prevailing gender-diversity challenges and revolutionizing how the mechanism of robots is being leveraged to bring about transformation.

The list includes C-level executives, entrepreneurs, inventors, pioneers, professors, and influencers in robotics who are spearheading the innovation across different sectors and contributing to the proliferation of industry as a whole.

The influencers enlisted reflect the best women leaders who hold extensive experience and influence in robotics and their innovations are redesigning the future of businesses worldwide as well.

Here are the 50 leaders:

Danielle Applestone – CEO and Co-Founder at Daughters of Rosie

Crystal Chao – Chief Scientist at Huawei and the Global Lead of Robotics Projects

Alice Agogino – Roscoe and Elizabeth Hughes Professor of Mechanical Engineering

Emily Cross – Director at Social Brain in Action Laboratory

Dr. Susanne Bieller – General Secretary for International Federation of Robotics (IFR)

Cynthia Breazeal – Head of the Personal Robots Group at MIT Media Labs

Heather Justice – Software Engineer at NASA JPL

Ayorkor Korsah – Professor of Computer Science and Robotics at Ashesi University

Madeline Gannon – Multidisciplinary Designer at Mimus

Kanako Harada – Program Manager at Cabinet Office, Japan

Cindy Bethel – Professor and Billie J. Ball Endowed Professorship in Engineering at Mississippi State University

Sonja Betschart – Co-Founder and Chief Entrepreneurship Officer at WeRobotics

Noramay Cadena – Cofounder and Managing Director at Make in LA

Verity Harding – Co-Lead at DeepMind Ethics & Society

Lydia Kavraki– Nora Harding Professor at Rice University

Dana Kulic – Professor at Monash University

Jean Liu – President at Didi Chuxing

Amy Loutfi – Professor at the AASS Research Centre, Department of Science and Technology at Örebro University

Sheila McIlraith – Professor at University of Toronto

Nancy McIntyre – Community Innovation Manager at REC Foundation

Malika Meghjani – Assistant Professor at Singapore University of Technology

Cristina Olaverri Monreal – BMVIT Endowed Professorship at Johannes Kepler University and Chair for Sustainable Transport Logistics 4.0

Wendy Moyle – Program Director at Menzies Health Institute

Yukie Nagai – Project Professor and Director of Cognitive Developmental Robotics Lab at University of Tokyo

Temitope Oladokun – Robotics Trainer at TechieGeeks

Svetlana Potyagaylo – SLAM Algorithm Engineer at Indoor Robotics

Suriya Prabha – Founder & CEO at YouCode

Amanda Prorok – Assistant Professor at University of Cambridge

Ellen Purdy– Director at Emerging Capabilities & Prototyping Initiatives & Analysis Office of the Assistant Secretary of Defense

Signe Redfield – Engineer at Naval Research Laboratory

Marcela Riccillo – Professor in Data Science and Machine Learning at ITBA

Selma Sabanovic – Associate Professor at Indiana University Bloomington

Maria Telleria – Co-Founder and CTO at Canvas

Ann Whittaker –Head of People and Culture at Vicarious Surgical

Jinger Zeng– Community & Partnership, Auterion

Fei-Fei Li – Associate Professor at Stanford’s Computer Science Department

Andrea Thomaz – Professor at Georgia Institute of Technology

Ruth Schulz– Cognitive Scientist at University of Queensland

Ayanna Howard – Professor at Georgia Tech’s School of Electrical and Computer Engineering

Stéphanie Lacour – Researcher at School of Engineering at the Ecole Polytechnique Fédérale de Lausanne

Marita Cheng – Co-Founder at Robogals

Rosanna Myers – CEO and Co-Founder at Carbon Robotics

Dr. Catherine Ball – Innovation and Environmental Science Consultant

Ayah Bdeir – Founder at littleBits

Carol Reiley– Computer Science Ph.D. Candidate at Johns Hopkins University

Lisa Winter – Engineering Project Manager at Mattel

Andie Zhang – Collaborative Robotics Global Product Manager at ABB Robotics

Angelika Peer – Professor at Free University of Bozen-Bolzano

Barbara Mazzolai – Director at The Italian Technology Center’s Institute of Micro-Biorobotics

Erin Kennedy – Founder at Robot Missions

The issue further includes their achievements, innovations, and how they are influencing masses with their reputed work in the robotics field. The enlisted 50 visionaries are anchoring the needs of industry and benefitting their companies and society in the most novel manner. Dive deep into the profiles of these innovators, explore the full list here.

For more information, please visit https://www.analyticsinsight.net.

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