Рубрика: Robotics

The theory proposes a framework, where more time and energy can be preserved as robots and autonomous vehicle move to collect information.

The researchers at Northwestern University’s Robotics and Biosystem have formulated a new theory which predicts the movement of animals using sensing to search. The research paper titled, “Tuning movement for Sensing in an uncertain world” is published in the journal eLife. Researchers cite that this theory can be applied to improve the performance of robots for collecting information and autonomous vehicles.

The newly proposed theory is termed as the energy-constrained proportional betting, where the probability of moving to a location is proportional to an expectation of how informative it will be balanced against the movements predicted energetic cost. This theory, predicts the small and seemingly extraneous movements that sensory organs or animals undergo as they near or track a target of interest.

The researchers state that the underlying sensory sampling strategy gambles on the chance of obtaining more information at a given location through carefully controlled sensor motion that balances two factors that typically pushes in the opposite directions. These two factors are proportionally bet on the expected information gain and minimizing the energy expended for motion.

The researchers have applied this theory on four different species and have used three different senses including electro sense, vision and smell, so that the behavioural change in sensing can be analyzed and demonstrated. Usually, the animals, especially insects rely on moving their organs while encountered with an uncertain situation or while searching food. But researchers believe that this new theory will shed some light on the amount of energy required for such movements. The proposed theory combines the metabolic cost of motion with informatics module.

Malcolm A Maclver, who spearheaded the research, is a professor of biomedical and mechanical engineering at Northwestern’s McCormick School of Engineering. He states, “Animals make their living through movement. To find food and mates and to identify threats, they need to move. Our theory provides insight into how animals gamble on how much energy to expend to get the useful information they need.”

The theory provides a unified solution to the problem of not spending too much time and energy moving around to sample information while getting enough information to guide movement during tracking and related exploratory behaviours. It also addresses the challenges of the most existing theories where the complete control framework in animal sensing remains underspecified.

The experiment is initially done on the electro-sensing capability of South American Gymntoid electric fish. Researchers have also analyzed the datasets of previous experiments on blind eastern American mole, American Cockroach and hummingbird.

Todd D Murphey, the co-author of the new theory states, “While most theories predict how an animal will behave when it largely already knows where something is, ours is a prediction for when the animal knows very little — a situation common in life and critical to survival. “

The algorithm used in the model shows that animal trade the energetically costly operation of movement to gamble the locations in space.

Malcolm adds, “When you look at a cat’s ears, you’ll often see them swiveling to sample different locations of space. This is an example of how animals are constantly positioning their sensory organs to help them absorb information from the environment. It turns out a lot is going on below the surface in the movement of sense organs like ears, eyes and noses.”

The new theory aims to deliver a model that preserves more time and energy as the robots and autonomous vehicle moves to collect information.

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While 2020 has been a mixed year for disruptive technologies, Robotics Continues its unbeaten track

This year proved to be a massive driver for robotics, primarily because of the COVID-19 pandemic. Fuelled by innovations in artificial intelligence, robots are getting smarter. Hence, today more and more investors are eager about opportunities to raise funds or invest in emerging robotics companies. So, despite the economic downturn and amid new tech challenges, the robotics industry is in a strong position to weather this financial hardship while managing to retain significant backing from top investors. Not only that, but robotics also managed to offer new avenues of employment, contributed to economic growth and resolved some major societal challenges. Analytics Insight brings some of the top yet exciting robotics funding and investments of 2020 that made it into headlines.

Invento Robotics

Funding Amount: US$16 million

Transaction Type: Seed Round

Lead Investor(s): MSPL and Chiripal Group

Invento, a Bengaluru-based startup that makes and markets robots, raised US$16 million in a Seed round from iron ore mining company MSPL, textile firm Chiripal Group and a clutch of angel investors. The fresh capital will be used for the company’s global expansion and to build new technologies for its artificial intelligence platforms. The latest fundraise follows two rounds of undisclosed seed investments. One of Invento’s humanoid robots, Mitra, made a presence at the Global Entrepreneurship Summit in Hyderabad in 2017 and greeted Prime Minister Narendra Modi and US President Donald Trump’s advisors.

Ispace Technologies

Funding Amount: US$28 million

Transaction Type: Series B

Lead Investor(s): Incubate Fund

Ispace Technologies, a space resource exploration company, which develops micro-robots to locate the resources necessary to extend human life into outer space. As the company uses 3D printed and commercially off the shelf products (COTS) for rapid prototyping, this year it secured US$28 million in Series B funding round. The funding was led by Incubate Fund, Sparks Innovation for Future, Inc., Takasago Thermal Engineering Co., Ltd., and Mitsui Sumitomo Insurance Co., Ltd., which brings Ispace’s cumulative total investment to nearly US$125 million. The company plans to use the funds toward the development of its commercial lunar lander for its first mission and second mission planned to launch in 2022 and 2023, respectively

Locus Robotics

Funding Amount: US$40 million

Transaction Type: Series D

Lead Investor(s): Zebra Ventures

Boston-based, Locus Robotics, develops autonomous mobile robots for fulfilment warehouses. In the first half of this year, the company announced that it raised US$40 million in Series D funding. This funding round was led by Zebra Ventures, the strategic investment arm of Zebra Technologies. Scale Ventures Partners, which is one of the existing investors of Locus Robotics, also participated in the round. The company stated that this funding will be used to drive research and development while helping the company to expand its global footprint. It is looking to drive faster development of new warehouse robotics innovations, launch a European headquarters and create several strategic reseller partnerships throughout 2020.

Genrobotics

Funding Amount: US$3.41 Million

Transaction Type: Pre-series A

Lead Investor(s): Unicorn India Ventures

The Kerala-based firm, Genrobotics, has been working with the Central and state governments with a mission to eradicate manual scavenging from the entire country. The company has deployed its star Bandicoot robots in 11 states of India. 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. The company plans to use the funds for further scaling up production of Bandicoot to meet the growing demand in light of eradicating manual scavenging and developing new products and R&D (research and development) to leverage the technology for the health care segment.

YPC Technologies

Funding Amount: US1.8 million

Transaction Type: Seed

Lead Investor(s): Hike Ventures LLC, Real Ventures, Toyota AI Ventures

Montreal-based YPC Technologies is a robotic kitchen startup based in Montreal, Canada, recently received investment funding from Toyota AI Ventures, Toyota’s early-stage venture capital fund. This funding follows YPC Technologies’ participation in the 2020 Toyota AI Ventures “call for innovation” focused on smart, connected cities that launched earlier this year in partnership with Toyota Research Institute – Advanced Development (TRI-AD) and Toyota Research Institute (TRI). YPC is the 28th portfolio company announced by Toyota AI Ventures and this investment is part of a US$1.8 million seed round that YPC has announced. The round was co-led by Hike Ventures and returning investor Real Ventures, with participation from Uphill Capital and multiple angel investors.

Pony.ai

Funding Amount: US$462

Transaction Type: Investment

Lead Investor(s): Toyota

Autonomous driving startup Pony.ai, which is backed by Japan’s Toyota Motor Corp. and is working with the automaker on self-driving technology. In February, it had raised US$462 million in funding, which had then brought the value of the three-year-old firm, at slightly more than US$3 billion. Pony.ai is already backed by Sequoia Capital China and Beijing Kunlun Tech Co. Most recently, Pony.ai received another US$267 million in November, thus further raising the company value at US$5.3 billion, last month. This time the funding round was led by Ontario Teachers’ Pension Plan Board’s (Ontario Teachers’) Teachers’ Innovation Platform (OTPP). The company said in a statement that the funds will be used to develop technology, expand its fleet of self-driving vehicles and explore mobility services with Toyota. The firm is currently working on achieving “Level 4”, or fully autonomous standards, in which the car can handle all aspects of driving in most circumstances with no human intervention.

Seegrid

Funding Amount: US$52 million

Transaction Type: Equity Financing

Lead Investor(s): G2VP

Seegrid Corporation, a smart platform that supplies material handling equipment and fleet management software, closed a US$52 million growth equity financing round, bringing the company’s total funding to date to over US$150 million. The investment round previously was announced when lead investor G2VP funded the first US$25 million of the round. The company had the right to top off the round, which was oversubscribed, resulting in a total round of US$52 million with additional funding from leading technology and robotics investors.

Soft Robotics

Funding Amount: US$23 million

Transaction Type: Series B

Lead Investor(s): Calibrate Ventures, Material Impact

Robotics startup company Soft Robotics has closed its Series B round of funding, raising US$23 million led by Calibrate Ventures and Material Impact, and including participation from existing investors including Honeywell, Yahama, Hyperplane and more. This round also brings in FANUC, the world’s largest maker of industrial robots and a recently announced strategic partner for Soft Robotics. The company announced plans to use this fund for boosting its growth, increasing its variability even further and working on expanding its food packaging and consumer goods applications. It also mentioned plans to venture into e-commerce and logistics, especially to help automate and improve the returns process, a costly and ever-growing challenge as more retail moves online.

Reliable Robotics

Funding Amount: US$33.5 million

Transaction Type: Venture Capital Funding

Lead Investor(s): Lightspeed Ventures, Eclipse Ventures

Autonomous aircraft startup Reliable Robotics received US$33.5 million in venture capital funding in October. The funding came in two rounds, one led by Lightspeed Ventures and the other by Eclipse Ventures. Other participating investors include Pathbreaker Ventures and Teamworthy Ventures. Reliable Robotic’s platform spans avionics, software mechanisms, communications systems, remote control interfaces, and backup systems that enable human pilots to take over if needed. The company is working on a project to develop an autonomous platform that imbues any fixed-wing plane with autonomous capabilities.

XYZ Robotics

Funding Amount: US$17 million

Transaction Type: Series A+

Lead Investor(s): Source Code Capital

XYZ Robotics, an AI-driven robotic perception and manipulation technology developer for logistics and manufacturing automation, closed US$17 million in Series A+ funding round. Led by Source Code Capital, Gaorong Capital and Morningside Capital, the fund will fuel XYZ’s research and development, business expansion, and operational capabilities, as well as large-scale deployment. The company builds autonomous robotic solutions for put wall sorting and goods-to-person picking. Its robot also sorts unorganized, random warehouse goods into groups of customer orders.

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You arrive at your fancy hotel and are greeted by a robot that promptly takes your luggage off your hands and carries it to your room for you, all while reciting cool things to do and places to eat in the city nearby. It sounds like something out of a sci-fi movie, but the reality is that this is not so far-fetched after all.

It is already happening in places like South Korea, where it was recently announced by the Novotel Ambassador Seoul Dongdaemun Hotels and Residences that they’re going to be using a robot helper to deliver luggage and room service to guests’ rooms, using 3D mapping, 5G and artificial intelligence.

It’s becoming more and more common to see robots being used in place of humans – in warehouse production lines, at airports and train stations, and even cleaning homes. So how is robotics going to change the service industry?

Robot wait staff

The use of robots as wait staff in the restaurant industry is on the rise, with more and more restaurant owners using robots in place of human staff due to a shortage of waiters. In addition to this, given the current need for social distancing, the appeal of robot waiters is booming more than ever before. Currently, there are robotic waiters that have been developed using an autonomous system that works by using wheels and a Robot Operating System (ROS) that maps out the robot’s path and uses specialised navigation software in order to direct the robot where to go to roll out its serving tray and deliver the food and drinks. Robot waiters are more efficient, less likely to be distracted en route, and give restaurant owners none of the hassle and human resource issues associated with human staff. Although these robot waiters are currently being used only to deliver the food, we could soon see a system whereby the patron inputs their order on a tablet or some other device at their table, and has it delivered without the need for any human interaction at all.

Robot couriers

One of the most popular segments of the service robotics industry at the moment are robot couriers. Autonomous robots that can deliver packages accurately and quickly saves e-commerce retailers money and time and thus lowers operating costs in other areas, allowing these businesses to become more competitively priced for their product offering. Currently, US-based courier companies such as FedEx are testing robots that can do same-day deliveries of payloads of up to 100-pounds, with 10-mile p/h travel speeds and the ability to climb stairs.

These robotic delivery services are also being extended to fresh food deliveries and if trials are successful, we could see a huge boom in this area in the very near future.

Robot grocery store checkout staff

In the grocery and convenience store industry, robots are already being prototyped that roam the shelves, identify items by barcodes and special scanners, and take them into trolleys in order to be packaged by a human and delivered to the online shopper. One step further is robotics being used at the point of checkout, in order to speed up and streamline the whole process.

A grocery store in Osaka, Japan, has already started using a robotic checkout system that not only scans your groceries, but also bags them. More complex robotic checkout systems of the future could have actual robotic arms that are able to gauge more complex items and bag them appropriately.

Robots in casinos

The casino industry is already prototyping robot croupiers, that, in spite of removing the human touch from the gambling experience, actually add to its appeal by attracting people interested in gambling in futuristic casinos. Robot croupiers never tire, meaning that they can work 24/7 without the room for error and fatigue, and they are also able to detect cheating, making the lives of casino operators that much easier, as well as more cost-effective.

In addition to robotic croupiers there are other ways that robots are being considered for use in casinos. A robot bartender will get multiple drinks orders right simultaneously and will pour the perfect drink every time. In addition to this, you can also have a robot waiter who delivers the drinks right up to your poker table, quickly and seemingly effortlessly.

Robot security guards can patrol the casino floors, using video cameras and artificial intelligence to track gambler behaviour, enabling them to spot any suspicious activity and nip it in the bud.

Robots in the service staff as the way forward

Given how much robots will help these industries, it seems a bit of a no-brainer that technology is going to move in that direction. Although there is quite a furore over whether or not robot service staff will be taking jobs out of the hands of the people, one thing’s for sure, this is the way that things are going and it’s either get on board, or get left behind!

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In the post-COVID era, the world will witness contribution of both humans and machines to perform daily tasks.

Due to the recent advancements in robotics, the possibility of symbiotic relationship between humans and robots is expedited. This further paves the path of a new technological era with a boon for the society.

The COVID-19 pandemic has led to the booming adoption of robots to secure services and operations. Owing to the pandemic, sectors such as manufacturing and healthcare have readily deployed robots to perform tasks efficiently. However, even before the pandemic ravaged the global organizational workflow, the possibility of creating a space that can manifest robots as part of daily routine was explored. For example, healthcare institutes have deployed robots to assist in lab work and patients. With artificial intelligence already paving the path of innovation, the human and machine interaction will witness a new dawn of human and machine co-existence.

Researchers have already carried out research that substantiates evidence for the cognitive ability of humanoid robots. Now, through extensive research, mechanism is chartered in which robots can provide emotional assistance, and can prevent abuse. Henceforth in the post-COVID era, the world will witness contribution of both humans and machines to perform daily tasks.

This article focuses on how machine-human interaction will bolster new relationship in the coming era.

Collaborative Framework at Education

The nursery classes at school require constant daycare for the students. Often the number of day caretakers is confined to the number of students that needs to be taken care of. Undoubtedly teachers try to assist as much as possible, however, it is not possible to give attention for individual students. Henceforth a new working mechanism can be chartered out, where robots can aid in student care and support. Already this method is deployed across various healthcare institutes. Through this approach, the nursery students will get individual attention in learning and improving simultaneously.

Collaborative Framework in Public Security

The incident of heckling and abuse is pretty common in public spaces. The police or security workforce deployed by the authorities is often limited to the large population of a city. Specifically, this incident becomes rampant around spaces which involves a large crowd like pubs and mall. By installing humanoid robots across such areas to monitor an uneventful incident, would aid in scaling up public protection and security. Robots can also be integrated with sensors that can alert the authorities during chaotic events. This will aid in maintaining governance and law and order across the city.

Collaborative Framework in Nursing Homes and Psychological Support

Nursing homes require constant care for elderly people. This also means aiding in constant psychological support. The manual workforce is significantly small to give geriatric care, and providing psychological support to the elderly. By integrating humanoid robots across nursing homes will not only aid in psychological support but will also help in creating a constructive environment.

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Artificial intelligence and robotics are bringing drastic changes in the technological fields. Things we only imagined twenty years back have now become a reality. From automated systems at a manufacturing plant to self-serving robots in a restaurant, technology has evolved, driving humans together. In Today’s world, AI and robots serve people as problem-solvers, companions, and first-responders. Basically, when you chat online with a business on their website thinking that you are talking to their customer representative, you are actually talking to a chatbot. Technology has evolved for good, and it is not going to stop here.

AI and robotics are getting used in multiple fields

When we talk about AI and robotics, they are not specific to a certain industry. Their adaptability has made them the favorites in all the industries and sectors you can name or think of. From gaming to defense, healthcare, automotive, fitness, education, retail, manufacturing, and whatnot. Online gambling, for example, is a billion-dollar industry, and online gambling platforms like True Blue Casino have already started using AI-based algorithms that control the outcome of the gameplay.

So, it is safe to say that machines and computers will positively manage most of our dealings. It is just the start. AI, machine learning, and robotics are bound to progress further in the coming years before they become commonplace. Data has played a crucial role in the development of these systems because data has enabled these machines to learn on their own. With that being said, let’s discuss the applications of AI and robotics and how they are going to shape our future.

Where AI and Robots are used Today?

AI and robots are a powerful combination for automating tasks. In recent times, artificial intelligence has become a significantly common presence in robotic solutions, bringing in learning capabilities and flexibility in previously rigid applications. While still being nascent, both technologies work well when combined.

1. Virtual Assistant and Chatbots

Virtual assistants and chatbots propel the world with astounding automation levels, driving costs down, and productivity. Virtual assistants are a manifestation of AI and machine learning through the simulation of conversation with humans. Virtual assistants and chatbots are designed to obey automated rules using capabilities called Natural Language Processing (NLP). The recent advancements in technology have significantly improved their performance. From Siri to Google Assistant and Alexa, they are the glorified versions of virtual assistants.

From answering the basic questions like Today’s date and weather to performing some complex tasks like “Hey Siri! Set up an alarm for 8 AM,” these virtual assistants will slowly replace your human assistants. The best part is that they amalgamate very well with machines in your home. With the likes of IoT (Internet of Things), you can command your virtual assistant to turn on the light or AC or music in your house.

2. Agriculture and Farming

Believe it or not, robotics and AI are your next best bet for sustainable agriculture. With the food supply chain facing a crisis, courtesy of centuries of environmental abuse, over-farming, labor shortages, and population growth, it is threatening our most basic needs. AI and automation are believed to provide relief from the effects of an aging agricultural workforce. With the likes of autonomous drones, self-driving agricultural machines, etc., farmers can spend more time focusing on creating sustainable harvests and less time watching the path in front of them.

Deere is a well-known agriculture equipment manufacturer that is popular for its self-driving machinery. Also, it expanded its agricultural arsenal with the introduction of an automated weed sprayer. It uses next-gen technology with advanced robotics, machine learning, and computer vision to distinguish between crop and weed. Also, Big Data is helping farmers to deliver better crops. Big Data has given rise to prescription agriculture that uses web-based tools for creating maps or prescriptions, telling farmers how much fertilizer they need to apply to certain crops and areas.

3. Autonomous Flying

Autonomous flying uses computer vision technology for hovering in the air while avoiding obstacles and moving in a straight path. With the introduction of artificial intelligence, these flying machines are getting smarter. From aerial view monitoring to security surveillance, video recording, rescue missions, and more, drones and unmanned aerial vehicles are revolutionizing and replacing many job roles. The application of computer vision in autonomous flying includes obstacle detection, collision avoidance, self-navigation, and object tracking.

Machine learning can bring some drastic changes to how autonomous flying vehicles function. While object tracking UAVs capture real-time data, it also uses an on-board intelligence system that enables it to make human-independent decisions based on the real-time data.

These drones can be used in urban management and smart cities for advanced surveillance, quick facial recognition, or tracing unwanted objects. They are also highly beneficial in agriculture and farming as they can monitor crops, check the soil fertility, assess soil, and help crop production. Other applications may include:

• Scanning or mapping terrain of buildings in real estate;
• In the military to bombard or combat enemies in the war;
• For human tracking and face recognition.

4. Retail, Shopping and Fashion

The retail sector is reaping the benefits of AI and machine learning for some time now. Artificial intelligence is helping retailers better understand their target market through data analysis. Since data is the new currency of this digital world, it can make or break a business. Keeping this in mind, retailers are using predictive analytics to help forecast customer behavior based on sales data. E-commerce sites are using recommendations based on the customer’s regional search trends, location, and search history. Moreover, shopping sites like Amazon offer its customers product recommendations based on past sales data.

AI also helps retailers enhance their online store by customizing messages they send to their prospective customers. Content generation is a tedious process, but with AI’s Natural Language Generation (NLG), retailers can send targeted messages and offers to customers.

Robots have been introduced to manage the inventory and sales floor, giving ultimate precision and cutting high costs. And when it comes to fashion, AI is slowly taking over the supply chain and fashion store. From sorting of dresses to sewing, these mundane tasks are performed by AI-induced systems with better accuracy and faster speed. Robots can easily stitch fabrics with precision and can also detect flaws in the material, ensuring quality assurance.

5. Security and Surveillance

The robots developed Today use artificial intelligence, long-range sensors, high-definition cameras, and fast computer processing, all of which makes for a pretty decent security system for different needs. Experts believe that robots can easily guard a designated area. There are robots in the making that uses mapping software for creating a geo-fenced perimeter.

They are designed to monitor the grounds and inside of the building. These security robots are intelligently designed and use differential GPS that can easily find objects within a few centimeters. So, when it is moving, it knows exactly where it is. They can record and store data on a daily basis with their security camera. The foundation of an AI-based security system is a self-monitoring system that features an HD camera.

The latest AI-powered security robots use facial recognition to store the identities of people visiting a particular house or building and create a catalog of individuals who are regular visitors or those who are known.

6. Sports Analytics and Activities

The sports industry is embracing artificial intelligence and robots to make games more exciting and fairer. Sports are more than just games for millions of people. For some, it is an emotion. Above all, it is a billion-dollar industry. With so much at stake, organizations and associations across the globe are trying their best to gain a competitive advantage and keep the fans happy using robotics technology and artificial intelligence.

AI is helping players improve their fitness and help teams discover new talents. In some sports, robot referees are already a thing, while smart machines are assisting spectators in finding their seats at the stadium. For those who don’t want to visit the jam packed stadium to have fun, their fan experience is retained and redefined using VR headsets. Artificial intelligence is also helping clubs and teams come up with strategies based on previous data.

The following are some of the interventions that are being implemented in the sports industry:

• Smart apps and Virtual Reality tech are driving fan engagement;
• Tech-powered refereeing is soon going to become a reality;
• Smart algorithms are developing new games;
• AI is helping team management and support staff to find new star players;
• AI is assisting clubs and teams to protect the wellbeing of their players.

7. Manufacturing and Production

The evolution of the manufacturing and production industry is seen with the implementation of robotics and AI. The primary reason for the introduction of AI in the manufacturing industry is to cover for the lack of workforce, simplify the whole production process, and improve efficiency. Earlier, it used to take a whole team’s effort to manage one task system. Now since bots have taken over, it has helped manufacturers boost production speed.

AI is helping the industry by making product decisions instant and smarter. This is an era of customized products, and AI is helping manufacturers gather useful customer data, which is used to make product-based decisions. Also, it has helped the companies to reduce the overall cost of production. AI and robotics is the future of manufacturing. To get a better understanding of how essential are robotics and AI in the manufacturing industry, have a look at their use cases:

• Demand-based production;
• Automatic control;
• Damage control and quick maintenance;
• Product design and redesign.

8. Gaming

Robotics and AI have influenced the way computer games are designed and played. AI is helping game developers to create characters and generate their behavior to imitate humans. The primary goal of artificial intelligence in games is collecting and processing data obtained from players. Above all, it has enabled game developers to create games based on their needs and expectations.

Also, online gambling has benefited a lot from artificial intelligence. It studies the expectations and preferences of the gambler for example in top 10 online casinos Australia, giving them maximum satisfaction from the comfort of their home. The adaptability and learning nature of the algorithm of AI allows for creating realistic and natural game environments.

Last but not least, AI-based games have tremendous graphics. It needs a team of hundreds of developers to create such stunning graphics, but thanks to AI, the whole process is automated. This not only saves time, money, and resources as well.

Conclusion

Artificial intelligence and robotics are the driving force of the future. In the next decade, you will surely see some stunning technological revelations based on AI. AI is all about data, and when properly implemented, it will use the given data to our benefit, automating most of the processes and making our lives easier.

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The robots in Northampton will serve around 5,000 families with contactless deliveries

The Covid outbreak may have restricted business for some organizations, however, if you turned out to have the option to offer robots for delivery service like Starship Technologies could, business is growing. Robotic delivery services can guarantee contactless delivery, a profoundly sought-after service under mandates of social distancing. While autonomous delivery robots were at that point being used in some metropolitan regions, air terminals, colleges, hotels and enormous corporate grounds before the pandemic, demand for them is expanding exponentially since they couldn’t be tainted with the novel Covid as human delivery drivers could. In Phoenix, Ariz., occupants inside a half-mile span of Venezia’s New York Style Pizza could even get their pizza delivered by a robot.

Self-driving vans by start-up UDI delivered ood when China was under lockdown during the pandemic. These vans and delivery robots depend on innovation, for example, cameras, lidars, and deep-learning algorithms to effectively finish missions. Autonomous delivery vehicles assist in contactless delivery being the feasible response to shutting the gap between the worldwide craving for deliveries (rapidly) and the work shortage in a logistics system requested by organizations, for example, Alibaba that is planning to deal with 1 billion packages for each day.

UK grocery store Co-operation has extended its utilization of Starship Technologies’ autonomous home delivery robots to the town of Northampton. More implementations are expected in extra towns and urban communities soon.

Northampton is the Co-operation’s second Starship robot delivery location after Milton Keynes, where the service started in 2018 and is accessible from eight stores. The retailer intends to utilize something like 300 of Starship’s robots in the UK before the end of 2021.

In the same way as other different retailers, Co-operation has sloped up its online offer to fulfill needs, especially during the pandemic. It expects to offer online home delivery and click and collect, through its own webpage and with partners, at more than 1,000 stores before the current year is over. This is up from the 650 it had initially arranged.

The organization says it considers it to be as “micro distribution hubs”, with orders picked from nearby Co-operation stores so high street stores profit by an expansion in online demand.

The robots in Northampton will serve around 5,000 families with contactless deliveries from the Co-operation food store in Wootton Fields at first. The delivery gadgets will go up to three miles from the shop, with bookings made through the Starship Food Delivery application.

Amazon isn’t the lone organization getting into the autonomous robot delivery business. Numerous organizations as of now make robots that serve encased premises, for example, corporate grounds, hospitals, and colleges and might soon be seen on city roads. These bots deliver desk work, food for snacks and lunches, lab tests, and the sky’s the limit from there. Some of these organizations are sponsored by enormous companies, for example, Toyota and ThyssenKrupp or are off-shoots of notable organizations, for example, Segway and are largely attempting to build up their specific specialty of service in autonomous delivery robots.

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Could giving robots voice help them learn human commands?

Robots have become an integral part of human’s daily lives. They help us in numerous ways, from performing complex tasks to lifting heavy weights and assisting the elderly, playing with kids, and entertaining people at events. They can interact with people in any scenario. However, construing a human language still a challenge for robotic systems. Training them with real-world experiences and knowledge about the world could help robots understand natural language.

People use language to express emotions, direct behavior, ask and answer questions, provide information, and ask for help. Language-based interfaces for robots require minimal user training and expression of a variety of complex tasks.

In a paper, researchers from MIT describes a new way to train machines. They noted that children learn language by observing their environment, listening to the people around them, and understanding what they see and hear. With keeping that in mind, they created a tool called semantic parser that mimics the experience of children learning a language. Parsers are already being used for web searches, natural-language database querying, and voice assistants. The system observes captioned videos and links the words that speakers say with recorded objects and actions.

As parsers are trained in sentences annotated by humans, they could be used to improve natural interaction between humans and robots. According to the paper, a robot equipped with the parser could observe its environment to reinforce its understanding of spoken commands, even when the spoken sentences are not fully grammatical or clear.

Earlier, Analytics Insight reported that how giving voice to robots within healthcare influence human perception. Already, robots are delivering a wide range of healthcare services and opportunities to medical personnel and advancing patient care delivery. In this article, we noted how researchers at the University of Auckland and Singapore University of Technology & Design have been using speech synthesis techniques to create robots that sound more empathetic. As part of their study, researchers tested a hypothesis on how a robot’s voice can impact users’ understanding by conducting a simple experiment using a robot called Healthbot. They used a professional voice artist for the robot’s voice, which was recorded while reading dialogs in two voice variations: a flat monotone and an empathetic voice.

More broadly, teaching a machine to speak and making them able to recognize human voice is a crucial yet effective step as spoken language is the most intuitive form of interaction for humans. In 2018, it was reported that researchers in Japan attempted to bring audition, or power of listening, to robots. Proposed by Tokyo Institute of Technology Professor Kazuhiro Nakadai and Professor Hiroshi G. Okuno of Waseda University in 2000, “Robot Audition” is a research area. For this, they turned their research public and made it open-source software. This essentially helped them generate interest and diversified the research. Their research was officially registered in the IEEE Robotics and Automation Society.

So, when robots and robotics systems are able to learn and recognize the human language, they will have a more emphatic impact on people’s lives.

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Robotics Technology is Helping Paraplegics Patients to Walk Again

An Indian health-tech start-up has developed an exoskeleton used as a robotic arm or leg for paraplegic patients combining robotics with artificial intelligence (AI). GenElek Technologies, the start-up was chosen to represent India at the Powered Exoskeleton Race, Cybathlon 2020 in Zurich before the coronavirus outbreak.

Exoskeletons, externally worn robotic support system, make it possible for people with neurological conditions like paralysis, stroke, and spinal cord injury to work or move better. Models like GenElek’s can tailor the customised design as per individuals’ needs. Such models can help paraplegics to walk again to learning to drive a car.

How does it Work?

The idea behind this concept is that the coupling between the brain and the machine should work in a way where the brain thinks of the machine as an extension of the body. For example, if suppose a driving car, do you think about your moves while driving a car? The brain somehow adapts to the car as if it is a part of the body. With this basic idea in mind, it would be great to have an exoskeleton that would be adopted by the brain in the same way.

The breakthrough idea is that the human brain can comprehend electronic signals from machines and peripheral nerves. Using soft exoskeleton for paraplegic patients can help wear like a piece of clothing which can both sense the user’s movement intentions and provide instantaneous feedback. Incorporating this with recent advances in brain-machine interfaces which allow real-time measurement of brain responses enables the seamless adaption of such exoskeletons to the needs of individual users.

As per a 2013 study by the Christopher & Dana Reeve Foundation, roughly 1 out of 50 people in the US live with some form of paralysis, nearly 5.4 million people. This figure is almost equal to the combined population of Los Angeles and Philadelphia. The number of humans who are candidates for exoskeletons is about 3,00,000 and growing by around 18,000 every year.

Such models integrate AI by collecting data in real-time, interpreting, and relaying AI to the cloud. It gets processed in real-time by a medical expert monitoring the patient’s treatment.

The active powered exoskeleton is strapped on to the paralysed arms and legs, offering help the individual to stand up from a wheelchair without external support. It helps the person to sit or stand without dependency and walk. With training, they can even climb stairs.

Helping Stroke Patients

Robotics has recently expanded to benefit stroke patients as well. Over 70% of people who suffer a stroke never regain their walking capabilities. Companies such as Ekso and Cyberdyne are trying to change that by embracing EksoNR, a robotic exoskeleton designed to be used in a rehabilitation setting to progress neuro-rehab patients.

EksoNR is not meant to be worn out of rehab centres. Instead, it helps to train brain and muscles, enabling patients with stroke, spinal cord injury or other neurological condition to retrain their bodies to walk. The goal is to teach stroke patients to walk again, so they don’t need a device for an extended period.

This robotic technology could benefit millions of people. But, the biggest constraint for getting this technology is cost. Ideally, each robot should be customised to its wearer that is expensive.

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The interaction between both humans and robots is done under a controlled or determined object recognition and speech functioning

Automation has transformed work for quite a long time. 200 years back in Britain, the Luddites rose up, crushing the machines that made their weaving skills outdated.

Manual jobs keep on vanishing. Drivers, truck drivers and taxi drivers are compromised by self-driving vehicles. The Baxter robot compromises warehouse and labouring jobs while Hadrian X undermines bricklaying.

A gigantic change has appeared in the technological assessment regarding robotics and artificial intelligence; the greatest questions in this time emerge after nations attempt each conceivable weapon against one another which could be robots. Factor is a very remarkable trust and security concern instead of technological belief. From clinical medical procedures to cleaning homes, the introduction of robotics technology is gradually supplanting our own insights and intelligence.

More presentation of personalized robots into our lives from our kitchen to the eatery and laboratory to the living room shows the headway of social exercises of robots, so in such a situation of infringement in our lives, the question emerges that are people prepared for the social interaction of robots.

Raising it assumes, in addition to other things, furnishing the machine with high-level perceptual and intellectual abilities so it can appropriately decipher the instructions it gets, forever adjust its behaviour on that of the bipeds it experiences, interpreting their gestures, their goals, their decisions and their physical failures, considers their emotional state, conceivably communicate the suitable effects right now experienced (sympathy, shock, satisfaction, trouble), plainly reports her intentions, moves without frustrating, shock or cause collisions.

Robots are not going anywhere as they are viewed as the best innovation in human history. It’s the matter of efforts one race puts into advancing another who precisely acts like the past one. So one thing is affirmed that in forthcoming years, we will see a ton of them around us. Robots are engaging in our lives yet getting consistent changes in their innovation and application

The interaction between both humans and robots is done under a controlled or determined object recognition and speech functioning. While researchers are zeroing in increasingly more on the progression of object verification, very little is accomplished for tactile, smell and other sensations we humans have.

If the robot is stood up to with such or such condition of the world at an instant T and achieves such or such action, the organizer permits him to extend himself into the future and to decide the tasks to be accomplished. Nonetheless, these algorithms, still exceptionally blemished in light of the fact that they are extremely simplified, require extraordinary computing capacities to work completely. To improve robots, and specifically to pick up autonomy, we can likewise utilize deep learning, an machine learning method in artificial intelligence (AI)

We should comprehend that people created technology, so there is no need to be in rivalry with one another. People are better in a couple of things and machines are better in a few. They need to work in amiability for better outcome and most extreme efficiency. The machine can do things that require physical strength, pattern founding, and the mathematical calculation in a better way. Then again people can do errands that revolve around creativity and thinking. The collaboration of AI systems with the best quality can carry equilibrium to uses of work and life.

If the dread of robots stays alive in our nation, this isn’t the situation in Japan where these substances are not the slightest bit seen as dangers. Studies show that Japanese scholastics have 90% more experience of human-machine collaborations than their American partners

Such technological progression is driving individuals to consider the coming future, what will be the abilities required, what high skills tasks we need to learn to be with these robots, how they will impact our day-to-day exercises and in particular what are the measures needed to set up our general public for the robots?

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Emerging trends in industrial robots are expected to shape the robotics in 2021 and beyond

Over the past few decades, robots have gone from incredibly expensive machines with limited functionalities to affordable robots that are flexible to do many works. Especially, industrial robots are highly adopted by people across the globe. Based on the latest trends in the robotics industry, industrial robots are increasingly leveraged in manufacturing hubs, setting continuous growth in advances, expansion and evolution at a rapid pace.

Owing to rapid technological advancements in robotics, the manufacturing sector has witnessed an increasing adoption of robotics engineering and technology into its production processes. Industrial robots are automatically controlled, reprogrammable and multipurpose manipulator machines. Typical applications of industrial robots include welding, painting, ironing, assembling, pick and place, palletizing, product inspection, and testing, all accomplished with high endurance, speed and precision. Industrial robots carry out tasks that are repeatable and save human labour. Moreover, industrial robots can work in dangerous and harmful environments where humans can’t engage in. The United States, China, Japan, South Korea and Germany alone accounts for 70% of the total industrial robots sales value. Global investments made by the automotive industry in industrial robots have increased significantly since 2010. According to a McKinsey report, the market for industrial robotics has increased by double digits ever since 2012 and will continue its growth at least through 2021. We can’t predict how exactly the market will shape in the future but can track the industrial robotics trends that will drive the transformation.

Adoption of Industrial Internet of Things (IIoT) technology

The Industrial Internet of Things (IIoT), also called as Industry 4.0 is radically changing how businesses, especially, industrial companies operate. The IIoT refers to the vast numbers of machines and devices or things a business uses that are now connected to the internet. There are infinite applications in the vast technology that has varied implications in the industrial robotics sector. Remarkably, smart sensors and actuators are expected to be increasingly deployed by the robots at the edge of production. Through its advanced use cases, IIoT leverages the power of real-time analytics and smart machines to take advantage of the data. One thing that makes IIoT applications stand out of the other trends in industrial robotics is its ability to communicate vital information that can be used to take business decisions accurately and in real-time.

Collaborative Robots or Cobots

Collaborative robots or cobots are a form of robotic automation built to work safely alongside human workers in a shared, collaborative workspace. A collaborative robot is responsible for repetitive and menial tasks which could tire humans. It also prevents industry workers by getting into critical and dangerous works. Collaborative robot’s functionalities mainly differ in industrial radar compared to other sectors. Industrial collaborative robots are designed with advanced sensors and software that allow them to detect and adapt to any human intrusion into their workspace. McKinsey estimated that the number of collaborative robots will increase from 10,000 in 2017 to 100,000 in 2020.

Improved robot senses

One of the major features that the industrial robotics is looking for is a robot that can interact with the world around them. To make this long imagination come true, researchers and scientists have included advanced sensing and gripping tools into industrial robots. When combined with powerful processing capabilities, tools like force control and advanced 2-D and 3-D vision will create a kind of robotic independence and allow the robot to make decisions about what to do when it encounters the inevitable troubles that arise in everyday operation.

Robots go digital

Industrial robots that can interact with each other regardless of human support are increasingly seen as an opportunity to fast-track manufacturing. Industrial robots are the central components of digital and networked production as part of industry 4.0. A group of researchers working in VDMA and Open Platform Communications Foundation (OPC) developed a so-called ‘OPC Robotics Companion Specification.’ This mechanism enables industrial robots to connect into the Industrial Internet of Things (IIoT).

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