Рубрика: Robotics

Recently, the usage of cobots in diverse industries is drastically increasing

The use of robots in various industries is becoming increasingly common. They are acting as human companions and help them at closer proximity. The intrusion of technologies like Artificial Intelligence (AI) and machine learning have made robots lively.

Robots started evolving in the 20th century. The term ‘robot’ first appeared in 1921, in Karel Capek’s play Rossum’s Universal Robots. The term represents ‘forced labour’ in Czech. The late 1900s were focused on the idea of collaborative robot or cobot, which held a closer spot in human life. While initially, the term robotics conjures up visions of hardware machines performing a wide range of tasks, it is now used to describe any sort of software or hardware-based automation that can perform a task.

Ultimately, these robots are out of communication with other robots or technological systems. Only applications of AI are capable of accelerating the chances of robot conversation which will be a breakthrough if converted to reality. Furthermore, with the implementation of machine learning in robotic process, it will unravel the robot interaction ability that might help them accomplish complex tasks without the normal risk associated with simpler bots.

The global robotic technology market size was valued at US$62.75 billion in 2019 and is anticipated to reach US$170 billion in 2027 with a CAGR of 13.5% during the forecast period.

What are Cobots?

Cobot or Collaborative robots are complex machines that work hand-in-hand with human beings in a shared work process by supporting and relieving human operators. It is generally a device that is designed to accomplish everyday job. Cobots can also detect abnormal activity in their environment through force limitation or vision monitoring.

Cobots are performing a variety of tasks like warehouse activities, delivery of goods, and a variety of assistive roles. The increasing use of robots has made people assign them to locations like retail stores, museums, hotels, hospitals and even inside homes to do some sort of household works.

Robotic Process Automation (RPA) allows humans to configure the robot to emulate and integrate the actions of a human interacting within digital systems to execute a business process. RPA robots utilize the user interface to capture data and manipulate applications just like humans do. They interpret and trigger responses, and communicate with other systems in order to perform on a vast variety of repetitive tasks. It also performs tasks that would otherwise be performed by humans like typing, clicking, swiping, copying and pasting and a range of UI-based interactions.

However, these processes are configured only to an extent. If the routine changes, these robots will not be able to handle the expectations and changes that will fail the process and become brittle.

AI and Machine Learning Complement Robotic Features

Artificial intelligence and robotics come together when the machine is set to think on its own. Industries are looking for robots that could do tasks more than just moving and carrying objects. They want robots that can handle more complex work and function in high-level situations.

AI doesn’t conclude with a single feature. Every application of AI such as, computer vision and RPA, complements and compels the robot to do more jobs than what it can perform just as a single system. It can trigger robots to successfully navigate surroundings, identify objects around and assist humans in tasks like bricklaying or installing drywall. Starting from being a household worker to performing critical surgeries, robots are taking a successful road towards automation.

AI-enabled Capabilities in Robots

Recognising objects using computer vision

Computer vision is the field of study that enables computers to see and understand the content of digital sources. By enabling the feature to robotics, it will help robots recognize objects they encounter. They can pick out the details in objects and help navigate by avoiding any obstacles if any.

Grasping objects through AI-enabled technology

Moving around a flat surface was not a tough job for robots. However, researchers started working on making robots hold on to or grasp objects which will make them much more helpful to humans. With the help of AI, they can efficiently do this without the need of a human controller. This action is very important for robots assigned to do automatic jobs in places like manufacturing houses and factories.

Automatic navigation using machine learning

Machine learning is a wing of AI that self teaches its applications to work without human interaction. By instilling machine learning to robots, it will gain autonomy, reducing the need of humans to plan and manage navigation paths and process flows. AI and machine learning together teach the robot to analyze their surroundings and help guide its movement, which helps the robots avoid all obstacles.

Understanding through NLP

Conversational robots are the game changers in the industry. They understand human language and perform tasks accordingly and are provided with some level of autonomy in such situations. This comes with the usage of AI-enabled recognition and Natural Language Processing (NLP) in robots.

Conclusion

The possibilities go limitless while talking about AI merging with robotics. Robotics is already a hot topic that induces interest among people. By enabling AI features, robotics is becoming more futuristic.

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The growth of industrial robot revenues eased back in 2019 however it is predicted to get again towards late 2020 and quicken in 2021, as indicated by new market research from Interact Analysis.

Interact Analysis delivered another market report zeroing in on the industrial robot market which outlines reasons to be positive in the division, notwithstanding a quick, short term decline in incomes.

The report really expounds around explicit headwinds that have challenged development in that sector, including the slowing down of the worldwide economy, trade wars and vulnerability in the worldwide automotive industry.

Compared with 2017, where incomes related to industrial robots increased by 20%, predicted decrease of 4.3% in 2019 have caused some worry.

While the novel Covid pandemic started a couple of months back, March 2020 was the point at which it influenced the worldwide economy. Numerous governments and organizations have requested a large number of individuals to telecommute or close down, however the robotics technology industry grows, with more than $2.7 billion in reported transactions a month ago.

In all actuality, most of that sum was investment in self-driving vehicle organization Waymo early in March, when the economic log jam was simply starting in certain nations and businesses. In any case, as sibling publication The Robot Report has discovered, the COVID-19 emergency has likewise given chances to certain providers of robots, autonomous vehicles, drones, and artificial intelligence to grow and help individuals.

Investment movement had just started easing back in East Asia prior this year, especially in manufacturing center China, which is apparently beginning to recuperate. When Europe, North America, and other countries of the world pass the worst in terms of infections and closures relies to a great extent upon local governments and remains to be seen.

The incorporation of industrial robots and cobots into industrial facility workspaces to improve precision and productivity saw numbers reach close to record highs, however, it has eased back based on 2019 sales, the IFR report shows. While there are more robots in operations currently, demand will probably ebb until economies urge organizations to make new investments once more.

Notwithstanding the general drop in industrial robotic sales, the arrangement of new cobots bounced to 18,049 units — a 4.8% portion of total robot deployments in 2019. That is up from 2.8% in 2017 when IFR began gathering cobot information. IFR ascribes the increase to more providers offering cobots and a more extensive range of utilizations.

A focal element to the report’s discoveries is the impact China is having on the worldwide industrial robot market in 2019.

While Japan remains the biggest maker of industrial robots, with an expected 45% of total production, there has been huge development underway capacity and yield in China.

This can be ascribed to various factors, including Chinese vendors entering the market and inward investment from traditional industrial goliaths like ABB, Fanuc, Kuka and Yaskawa.

While genuine development of industrial robot revenues has eased back down, the reasons behind this are clear and, generally, outside the ability to control the vendors.

Meanwhile, two robotics organizations shut down in March 2020 in light of the fact that they ran out of financing, not on the grounds that they may have been considered “insignificant” organizations. San Francisco-based autonomous truck startup Starsky Robotics and Malden, Mass.- based hybrid drone power-supply provider Top Flight Technologies Inc. closed.

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How is Robotics building bridges between Employees and Technology?

Traditionally, human beings design and construct robotics, and the use of machines to perform tasks. Robots are broadly used in industries such as automobile manufacturing to perform simple repetitive tasks. In such industries, work must be performed in ecosystems hazardous to humans.

Almost every aspect of robotics involve artificial intelligence (AI), robots may be equipped with the equivalent of human senses like vision, touch, and ability to sense temperature. Some of them are even capable of decision making. Today’s research on robotics is geared toward devising robots with a degree of self-efficiency that will enable mobility and decision-making in an unstructured ecosystem. Current industrial robots do not resemble human beings.

Industries are using robots for stimulating manufacturing electric signals and designing biomedical equipments etc. Robotics requires a set of applications, including computer integrated manufacturing, mechanical engineering, biological mechanics, electrical engineering, and software engineering.

Nowadays, Automation and Robotics Engineering have been used to control systems and in information technology to reduce human work while producing goods and services.

Vice President, Product, Program, and UX Design for Brain Corp, Phil Duffy joined host Daniel Litwin to cover a broad critical topic in today’s automated world. They are tackling how robotics is creating new bridges between employees and technology.

Brain Corp develops software for autonomous mobile robots (AMRs), designed for retailers and grocery stores around the world and counts several Fortune 500 customers among its client bases, such as Walmart, Kroger, Schnucks, Giant Eagle, and Simon Property Group.

Phil Duffy provided some essential insights from the front lines on how those customers and others are leveraging AMRs during the pandemic. He was trying to explore how the rapid growth of adoption of robotic solutions could continue into the new normal and beyond. He further emphasized the effect of robotics on daily operations during the coronavirus pandemic and into global reopening.

Duffy said, “We’ve known about robots in a warehouse and industrial setting for 20-odd years, but the robots that scale in open-to-public spaces are relatively a new thing.”

He elaborated, “Up until recently, customers have been nervous about the prospect of robots in open spaces. What’s happened during COVID-19 pandemic is that a lot of the customers we deal with in the robotics industry have recognized that there’s an opportunity here to gain value.”

That translates to robots potentially taking over dull and monotonous jobs, enabling human employees to take on cleaning of data and other important tasks during this unprecedented time of COVID-19.

The alliance between humans and machines will survive the global pandemic and set a new definition of work. Collaborating robots with employees can do physical work and provide real intelligence. Perception and ability of making decisions allow creation to grow in ecosystems that would be unsafe or unpleasant for human employees. Instead of being insecure, robotics is helping to build new bridges between employees and machines to get through the pandemic.

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Explore the list of companies that raised funds in October 2020.

Advances in disruptive technologies, such as AI, machine learning, big data and analytics and more, have already transformed businesses in all industries. Since companies across the globe are severely affected by the outbreak of COVID-19, they also get the opportunity to rethink, revisit and reimplement strategies to take a big leap towards innovation. This year so far, we have seen a rapid exploration and learning of robotics beyond manufacturing, supply chains and other industrial settings. According to the International Federation of Robotics (IFR), around 2 million new units of industrial robots are expected to be installed in factories worldwide from 2020 to 2022.

Robotics and robots are now also finding their ways in other industries and market scenarios. Developments in this technology enable companies to respond to changing requirements for their business growth. To gain a competitive edge, as most organizations are turning to robotic solutions, investment in robotics companies and startups are gaining rapid momentum.

Let’s have a look at the top robotics funding and investment in October 2020.

Magazino

Amount Funded: US$24.7 Million (€21 million)

Transaction Type: Venture Round

Key Investor(s): Jungheinrich

Magazino, a German Mobile picking robot manufacturer, raised US$24.7 million (€21 million) in Series B funding round to expand its software platform for intelligent robots. Jungheinrich, a German company active in the material handling equipment, warehousing and material flow engineering sectors, along with the European Investment Bank (EIB) led the round. According to Magazino, it will use the funds to expand its international sales activities and develop its Acros.AI software stack, a software platform for intelligent robots developed by Magazino that is also used on third-party hardware.

Dedrone

Amount Funded: US$12.1 Million

Transaction Type: Venture Round

Key Investor(s): TempoCap

Dedrone, a developer of drone detection technology with automated, software-based aerial intrusion, secured US$12.1 million in venture round. The funding round was led by European technology investment company, TempoCap. Founded in 2014 in San Francisco, Dedrone will use this fresh fund to expedite the development of its best-in-class platform providing early warning, classification, and mitigation against drone threats. The company’s aerial intrusion detection platform provides early warning of malicious drone activities. Further, it is used to safeguard data centers, prisons, airports, and other critical facilities from corporate espionage, smuggling, terrorism, and hacking.

HUVRData

Amount Funded: US$5 Million

Transaction Type: Series A

Key Investor(s): Cottonwood Venture Partners

HUVRData, a data analytics company that uses drones to inspect industrial assets and large acreage for precision agriculture, bagged US$5 million in Series A funding round. The round was led by Cottonwood Venture Partners (CVP), with Wild Basin Investments that made the initial seed investment in HUVRData in 2015. This new financing round will let HUVRData to stimulate product development and continue to deliver innovative solutions and services to its growing customer base in the alternative energy, oil and gas, maritime, and other industrial sectors.

Genrobotics

Amount Funded: US$3.41 Million

Transaction Type: Pre-series A

Key Investor(s): Unicorn India Ventures

Widely known for making Bandicoot, the fully automated manhole cleaning robots, Genrobotics raised US$3.41 million in pre-Series A funding round. The round was led by existing investors Unicorn India Ventures. Anand Mahindra, Chairman of Mahindra Group, also took part in the round along with SEA Fund. Genrobotics plans to use this capital for the production of its robot Bandicoot. The robot encompasses a stand unit and a drone unit that will dive into the manhole for cleaning applications.

Picnic

Amount Funded: US$3 Million

Transaction Type: Venture Round

Key Investor(s): Vulcan Capital, Flying Fish Partners, Creative Ventures, and others

Picnic, the maker of a robotic system for assembling foods like pizza, secured US$3 million in funding from Vulcan Capital, Flying Fish Partners, Creative Ventures, Arnold Venture Group, and others. The fresh capital will be utilized for product development, response to customer interest, new hires, and marketing. Picnic is an innovator of food production technology and Robotics-as-a-Service (RaaS) solutions. Previous, known as Otto Robotics and Vivid Robotics, Picnic is among a horde of startups and larger industry giants automating restaurant kitchens.

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How can future missions to the Red Planet propel a new age in space exploration?

Mars has been a key interest for scientists for decades. Being our neighbor, possibility of liquid water on its surface, and having fairly similar atmospheric conditions like Earth, it does sounds like a viable option for being another hospitable planet. This is why we have numerous space missions to Mars to look for signs of life. It started with a flyby in 1965 to quickly evolving into remote explorations from multiple countries. Each mission has given astronomers more information about the planet’s geology and habitability potential. Recently researchers at NASA’s Jet Propulsion Lab (JPL), Japan Aerospace Exploration Agency, and the Eindhoven University of Technology have introduced a three-agent robotic system that could further enhance the future Mars explorations. This system is composed of a Mars conventional ground rover, a helicopter, and an orbiter. This mission’s main objective is to test the feasibility of operating the copter on the red planet.

According to the research paper, published in IEEE Robotics and Automation Letters, if successful, the mission could pave the way toward other missions involving the deployment of Mars copters, which may produce more information about the ground, terrain, and obstacles ahead of the rovers. This system’s primary task is to identify an optimal path for the ground rover, which minimizes the localization uncertainty that accumulates as the rover moves in a given direction. The researchers found that the localization performance can be increased by selectively driving over types of terrain that are easy to localize (i.e., that have good localizability).

In their research, the team used a localizability map captured by remote satellite technology to carry out a space search that combines the rover’s path with the copter’s actions to gather rich data about the surrounding environment. Additionally, the system considers the dynamic map updates collected by the copter. This is necessary for copter and rover to address where to map and drive, respectively, for minimizing the uncertainty accumulation in rover localization. Further, copter’s ability includes the ability to observe and map regions of the planet in 3D. The paper authors have also mentioned that the copter’s high-resolution data would aid the rover in locating small hazards such as steps and pointy rocks, as well as providing rich textual information useful to predict perception performance. The lower the altitude, the more accurate the observation is. After each measurement and observation, the satellite map is updated for the rover to use as it moves forward. Notably, the uncertainty the rover could face due to undiscovered territory decreases as the number of images captured by the copter increases, thereby enabling a smooth mission.

As per the latest findings, the team has observed the system’s appreciable effectiveness in a series of numerical simulations, including both single-run and Monte Carlo simulations. These simulations were based on the map of the Mars 2020 mission landing site. They were explicitly designed to evaluate the planner’s effectiveness in reducing localization uncertainty when exploring Mars via a three-agent robotic system.

They concluded that adopting this approach reduces localization uncertainty during rover path planning by 10 to 20%. One the other hand, a random mapping approach gave less than a 10% gain in uncertainty reduction. In the future, their system could help optimize the use of copters to enhance rover navigation during Mars exploration missions by considering the rover’s actions and copter in conjunction.

Other Martian projects include the European Space Agency and Roscosmos planning to launch a rover named for chemist Rosalind Franklin, whose contribution helped decipher the DNA structure. The rover will drill into the Martian soil to hunt for signs of past and present life. Meanwhile, China’s Tianwen-1 aims to be the first Mars mission to drop a landing platform and deploy a rover. The rover will be equipped with a radar device that can detect water and ice beneath the surface, as well as a laser to track rock compositions.

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Here are the most advanced military robots providing a backup to armed forces.

Robotics technology is not new in military applications, as it has been used widely by armed forces across the world for many years. In today’s globalized world, robots in the military can perform various combat roles, including rescue task, explosive disarmament, fire support, reconnaissance, logistics support, lethal combat duties, and more. These robots can also be seen as an alternative to human soldiers, handling a broader range of combat tasks, from picking off snipers to targeting enemies’ areas with greater efficiency. Military robots can provide a backup during heavy artillery fire and lower the number of casualties. They can also map a potentially large hostile area by identifying a variety of threats with precision.

As military robots come in diverse shapes and sizes based on the requirement, MarketsandMarkets predicted that the military robot industry will reach US$30.83 billion by 2022, growing at a CAGR of 12.9 percent during the projected period of 2017-2022.

Here’s a look at the top most advanced military robots in the world changing the face of warfare.

AVATAR III

AVATAR III is a tactical robot from Robotex. It can be used by military SWAT teams to keep human soldiers safe that would normally perform this type of operation. The robot enhances the capabilities of law enforcement and first-responders by allowing them to safely and quickly inspect treacherous situations. The AVATAR III is completely customizable with plug-n-play payload bays, enabling users to build the robot to fit their needs.

DOGO

DOGO robot is an innovative tactical combat robot, armed with a 9 mm Glock pistol, created to serve as a watchdog for soldiers in the war field. Designed by General Robotics, this robot is the earthbound equivalent of the ubiquitous combat drone. The most interesting thing about DOGO is it weighs roughly 26 pounds and can be carried in one hand by a fully armed commando. Reportedly, DOGO was designed with input from the Israeli police’s counterterror unit and the Defense Ministry’s research and development directorate to combat terrorism.

RiSE

RiSE from Boston Robotics is an insect-like climbing robot that uses microclawed feet to nimbly scale textured surfaces, such as walls, fences, and trees. It is developed in collaboration with Boston Dynamics, Inc., Stanford University, Carnegie Mellon University, U.C. Berkeley, and Lewis & Clark University. The goal of the RiSE project is to create a bioinspired climbing robot with the unique ability to walk on land and climb on vertical surfaces. This project is funded by the DARPA Biodynotics Program.

SAFFiR

SAFFiR (Shipboard Autonomous Firefighting Robot) is a 5feet 10inches military robot and weighs 143 pounds. Developed by researchers at Virginia Tech, the robot designed to extinguish fires that break out on naval ships. SAFFiR can’t stand without a tether, but it is capable of taking measured steps and handling a fire hose. Its unique mechanism design equips it with a superhuman range of motion to maneuver in complex spaces. The ultimate goal is for SAFFiR to work in tandem with Navy officers, not replace them.

MUTT

Stands for Multi-Utility Tactical Transport, MUTT is an unmanned ground vehicle that comes in two versions – wheeled and tracked. MUTT accompanies the fighters, making travel easier by decreasing the amount of equipment that they carry while crossing difficult terrain on foot. This autonomous war vehicle comes in three sizes: tracked, 6×6, and 8×8. The 8×8 MUTT is 112 inches long by 60 inches wide, carrying up to 1,200 pounds. It can provide up to 3,000 watts of power and travel for up to 60 miles on a single tank of gas.

Guardbot

Guardbot is an amphibious, surveillance robot that can roll on any terrain, including snow, sand, and dirt. Along with maneuvering on any terrain, this surveillance robot can even swim. Originally designed for missions to Mars, Guardbot is equipped with two surveillance cameras, a battery that can last for 25 hours, microphones and GPS, which allows it to be controlled via satellites as well as remotely. Its smaller version can help search underneath vehicles at security checkpoints.

Gladiator

The Gladiator Tactical Unmanned Ground Vehicle is designed to support Marine Corps conduct of Ship To Objective Maneuver (STOM). It uses a small-medium sized mobile robotic system to lessen risk and neutralize threats to Marines across the spectrum of conflict. Looks like a small tank, but it can perform scout/surveillance, NBC reconnaissance, direct fire, and personnel obstacle breaching missions in its basic configuration. Gladiator can provide day/night remote visual acuity similar to that of an individual Marine using current image intensifying or thermal devices.

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Robot’s voice can give users to perceive robots as more emphatic.

Robotics technology is no longer the industrial term. It is being accepted widely by businesses for commercial use, performing a diverse range of tasks that are complex to humans. Robots are gradually making their way into the healthcare arena, facilitating clinical assistance to doctors and patients as well as simplifying the doctor-patient engagement. Research and innovation in the area of healthcare robotics have also seen substantial growth in recent years. Such key robotic healthcare innovations include devising new care models, especially for a large and rapidly aging population, and bringing high-quality care to new and underserved markets cost-effectively.

Making robots the part of healthcare services delivery will provide an array of opportunities and benefits to medical personnel and patients alike. These include providing assistance or comfort to patients or visitors; eliminating human error in delicate, high-risk procedures, and lessening the time required for surgeries. Moreover, robots can improve patient recovery time; cut down hospital stays, and create more targeted and personalized treatments, and more.

Despite these advantages, researchers and developers need to consider users’ perspectives about robots – how they feel at ease with robots and how robots can help them. To this context, researchers from the University of Auckland and Singapore University of Technology & Design have been using speech synthesis techniques to create robots that sound more empathetic. In a recent paper published in the International Journal of Social Robotics, they presented the outcomes of an experiment exploring the effects of making use of an empathetic synthesized voice on users’ perception of robots.

As followed by TechXplore, “Our recent study is based on approximately three years of research aimed at developing a synthetic voice for health care robots,” Jesin James, one of the researchers who carried out the study said.

The speech research group at the University of Auckland and the Center for Automation and Robotic Engineering Science have been attempting to develop healthcare robots that can aid people in care homes for several years now. They have been trying to recognize voices that could make robots more acceptable in the eyes of humans they interact with.

Identifying Robot’s Voice

As part of their study, James and her colleagues tested the hypothesis that a robot’s voice can impact how users perceive it by conducting a simple experiment using a robot called Healthbot. The researchers used a professional voice artist for the robot’s voice, which was recorded while reading dialogs in two tone variations: a flat monotone and an empathetic voice.

The researchers then recruited 120 participants and asked them to share their perceptions after they had watched videos of Healthbot talking with these two different voices. They found that the vast majority of participants perceived the robot as more empathetic when it spoke using a more empathetic voice. These initial research outcomes invigorated the researchers to explore the possibility of producing a synthetic voice that reproduced the empathetic tone used by the professional voice artist.

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Toyota Research Institute (TRI), on September 30, disclosed a few projects, including a ceiling-mounted robot that may help us one day with household chores. This system is one example of how TRI envisions the future of robotics and artificial intelligence (AI). The company is focusing on robotics and AI technologies for “amplifying, rather than replacing, human beings,” says TRI CEO Gill Pratt.

In other words, Toyota is keen to develop robots, not for convenience or to do human jobs. Instead, it aims to allow people to continue to live and work independently with the growing age.

The 20-minute-video by Toyota depicts various its vision of robotics 15 to 20 years from now. It also displays multiple scenarios, “where the application of robotic capabilities is enabling members of an aging society to live their lives independently despite the challenges that getting older brings.” The video explains TRI’s perspective on how robotics will integrate with humans in our daily lives over the next two decades.

For TRI, Both reliability and cost are product development tasks. “The hardware that we use in the laboratory for doing experiments, we don’t worry about cost there; instead, we focus on the product,” shares Mr. Pratt. However, “what research we do, we have to think about if the research is possible or successful for it to end up in a product that has a reasonable cost.”

It is because “if a customer can’t afford what the company comes up with, perhaps it has some educational value, but it will not make a difference in their quality of life in the real world,” elaborates Mr. Pratt. “So, we think about cost very much from the beginning.”

TRI’s vision is also the same for reliability. The company works hard to make its control techniques robust to broaden variations in the ecosystem. For instance, Russ Tedrake is manipulating dishes in a sink and a dishwasher, both in physical testing and in simulation; TRI is doing thousands and now millions of different experiments to ensure that it can handle the edge cases and it works over a wide range of conditions.

TRI is putting a massive amount of effort into bringing robotics out of the age of performing demonstrations. There is a history of robotics where things were not reliable for some time. Therefore, it would catch the robot succeeding just once and then display that video to the world, and people would get the misimpression that it worked all the time.

TRI is also exploring how to use light so that people can be ambiently aware of one another across distances. It experimented with a prototype called ‘glowing orb’ to keep people connected. Although this prototype didn’t work out, it explored different modalities for keeping people in touch.

Robotics Assistance in Grocery Shopping

TRI’s researchers worked on another prototype and discovered that grocery shopping is an integral part of life, and for many older adults, getting groceries always delivered is not necessarily the right answer. “Getting up and getting out of the house keeps you physically active, and many people prefer to continue doing it themselves,” says Steffi Paepcke, senior UX Designer at Toyota Research Institute. “But it can be challenging, especially if you’re purchasing heavy items that you need to transport.”

“We had a prototype that assisted with grocery shopping, but when we focused on Japan, we found out that the inside of a Japanese home needs to stay inside, and the outside needs to stay outside,” cites Steffi. “A robot that traverses between both domains is probably not the right fit for a Japanese audience, and those were some valuable lessons for us.”

Robotics to Ease Humans Lifestyle

TRI is exploring things such as the gantry robot as a long-term vision to make it human friendly to make changes to households. “We don’t want to give people a robot and assume that they’re not going to change anything about their lifestyle,” states Max Bajracharya, Vice President of Robotics at Toyota Research Institute. “We have evidence from people who use automated vacuum cleaners that people will adapt to the tools you give them, and they’ll change their lifestyle.”

“So we want to think about what is that trade between changing the environment, and providing people robotic assistance and tools,” he adds.

TRI’s present gantry system is a prototype and requires significant infrastructure. In the prototype phase, researchers are trying to understand whether the gantry system is worth to bypass navigation challenges and coming up with its pros and cons. Before launching, they are reviewing if it is the right approach to solve problems.

TRI aims to amplify people, and achieving this will require robots to be in a loop with people in some form. Using people in a slow loop with robots, like teaching them or helping them when they make mistakes, gives a robot a crucial advantage over one that has to do everything with 100% accuracy. In other words, in unstructured human environments, robots will encounter corner cases and require learning to adapt. People will likely play a pivotal role in helping robots learn.

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Who is responsible? – An inactive bug, presented by a recent software update or impacted by a human’s choices in the functions paving the way to the accident

Who should be considered lawfully responsible when a self-driving vehicle hits a walker? Should the finger be pointed at the car proprietor, manufacturers or the engineers of the artificial intelligence (AI) software that drives the vehicle?

The question of deciding ‘risk’ for decision making achieved by robots or artificial intelligence is an intriguing and significant subject as the usage of this innovation increases in the industry, and starts to all the more directly sway our everyday lives.

To be sure, as applications of Artificial Intelligence and machine learning innovation develops, we are probably going to observe how it changes the idea of work, organizations, businesses and society. But, in spite of the fact that it has the ability to disrupt and drive more prominent efficiencies, AI has its snags: the issue of ‘who is at risk when something goes astray’ being one of them.

Road traffic incidents are one of the main causes of accidental death and are one of the leading supporting contentions for why self-driving vehicles should be adopted more rapidly. Struggles to allocate risk for mishaps including cutting-edge advancements like AI have ruled worldwide conversations even as preliminaries are progressing in numerous places far and wide for example, in Singapore, South Korea and Europe.

During the third annual edition of the TechLaw. Fest forum held recently, experts said that Singapore’s laws are presently incapable to adequately appoint risk on account of misfortunes or damage endured in accidents including AI or robotics technology.

The extraordinary capacity of autonomous robots and AI frameworks to work independently with no human contribution muddies the waters of liability,” said Charles Lim, co-chair of the Singapore Academy of Law’s Subcommittee on Robotics and Artificial Intelligence.

The 11-part Robotics and Artificial Intelligence Sub-panel had recently published its report on what should be possible to set up civil liability in such cases a month ago. Singapore, regardless of positioning first in the 2019 International Development Research Center’s Government Artificial Intelligence Readiness Index, actually doesn’t have law frameworks set up for overseeing liability stemming from robots or AI, including civil liability for autonomous vehicles (AVs).

“There are different factors (in play, for example, the AI framework’s underlying software code, the information it was prepared on, and the external environment the framework is deployed in,” he said. Lim is a legal advisor and co-chair of the Singapore Academy of Law’s Subcommittee on Robotics and Artificial Intelligence.

The scenario is quite confusing whether an accident could come from an inactive bug, presented by a recent software update, or impacted by a human’s choices in the functions paving the way to the accident. Following the exact sequence of events paving the way to the accident to demonstrate liability can be unpredictable and cost, says Lim, who talked in his personal capacity at the webinar.

Fellow panelist and robotics and AI sub-committee member Josh Lee believes that an initial step for lawmakers here could be to sort out what to call the individual in the driver’s seat.

“We suggest that the individual be known as a ‘user-in-charge’, since the person may not be completing the task of driving, yet holds the capacity to take over when necessary,” he said. “This can have applications past driverless vehicles in numerous situations today, for example, medical diagnosis.”

The expression “user-in-charge” was first mooted by the United Kingdom Law Commission in 2018, where recommendations were postponed to place such users in a completely automated environment under a separate regulatory regime.

Artificial intelligence and robotics sub-committee member and lawyer Beverly Lim said during the webinar that the one individual who ought not to be held at risk is the driver in the driver’s seat, since he would have purchased the vehicle figuring that the AI would be a comparatively more reliable driver.

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Advancements of Robotics in the Medical Sector

Robotics have been used in medicines for years. Its introduction to treatment, particularly in surgeries, has evolved over the time. Moreover, doctors are considering robotics to treat diseases that are incurable today.

The application of robotics is associated with the development of linear actuators that enable top precision of movement for surgical purposes. These actuators enable top precision of movement for surgical purposes.

Origin of Robotics in Surgery

You may believe that the invention of robots is recent, though this is not the truth. Da Vinci system, the first robot-ever, has been used for several decades. The system is built with highly advanced mechanisms and tools that allow performing surgeries as well as control all the critical signs of a patient.

Da Vinci system contains a:

Surgeon Console: A surgeon applies the console to control the surgery process

Patient Cart: It houses the monitor enabling the surgeon to control the process and tools which are used to make the surgery.

Vision Cart: It enables communication among all systems. It also offers 3D imaging.

Da Vinci system is being improved continuously to top precision levels and to reduce any risks related to a surgical intrusion.

Robotics for Prosthetics Purposes

One of the latest developments of robotics is aimed for prosthetics purposes. Limbs can now be made to function better than human limbs. Robotic limbs can track their own position in 3D and are capable of adjusting their own joints up to 700 times a second.

Bionic skin is developed and neural systems are introduced for these limbs. Although all these advancements have not discovered a complete application in the daily lives of patients, they will be implemented widely gradually. It will be an outstanding achievement in the medical field.

Endoscopy Bots

With a broad implementation of small endoscopy bots, endoscopy’s traditional form will be eliminated forever. Tiny devices will traverse in the intestine of a patient to gather all required information, and the data will be directly delivered to the PC monitor.

These devices will expectedly enable the diagnostics of medical diseases at initial stages. Therefore, in some cases, required intrusions may be less invasive, and in other cases, they may act preventive.

Another development is the capsule endoscopies. They are already tested. A small capsule will have capabilities to carry a drug to a specific part of the body. It shall remove many side effects and allow more superior treatment.

Robotic Nurses and Assistants

We have to agree that without doctors and healthcare staff, medicine would not exist. Nurses are mostly around to serve a patient. Their contribution is not less than the work of a doctor. We cannot deny that nurses often overwork.

That is the reason why robots would be an alternative to reduce their work. Most procedures are based on repetitive movements and specific algorithms. If programmed and examined, a robot nurse is capable of performing all the functions impeccably.

It will not only acknowledge but also facilitate the work of nurses by allowing them to focus on patients who need special care and non-standard approaches. Moreover, this robotics will be available 24/7 without a single sign of exhaustion or tiredness. They can also prepare the medications with a higher precision level. Though robotic nurses cannot replace human nurses entirely, they can simplify and ease daily tasks significantly.

Medical applications of robots are the most important for humans, especially during a global pandemic. Robots permit us to do a lot of things that were unavailable before. With advancements in robotics, invasive surgical intrusions became possible. It helps to reduce the typical risks immensely for any surgical intrusion. Moreover, some intrusions would not be possible if robotics were not used.

Apart from surgical intrusions, robotics can be applied for many purposes, such as targeted drug delivery, biopsy taking, and patient-friendly endoscopy. New advances are designed to provide patients with artificial limbs and even exoskeletons that can offer the same functionality as human body parts.

These advancements are incredible. It would be impossible to believe that some things are possible, a few years ago. We expect that we will avail services of more incredible robotics in the medical field soon.

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