Рубрика: Robotics

AI in Robotics is revolutionizing the world and with their growing demand their applications are growing too. Here’s how

If the goal of artificial intelligence is to replicate through a series of computer programs the way the human brain thinks, then when it comes to the field of robotics, it entails figuring out the best way to enable these machines to be able to make decisions based on the information they receive from their engineering, electronics, and, most importantly, computing. As a result of their mutual development environment. In truth, cybernetics is a highly complete science that combines several fields including e order to enhance the capabilities of these automata, AI, and robotics are becoming more and more entwined.

The employment of algorithms and techniques that allow them to analyze data from sensors that connect them to their environment gives robots with AI tools the ability to learn and make choices independently and in real-time. So they can move and behave appropriately, and they can comprehend their environment.

As the potential for collaboration between the two disciplines expands, it has sparked the creation of increasingly sophisticated and autonomous robotic systems. Robotics can aid in the advancement of AI by giving real-world examples and data for machine learning algorithms to practice on. Robots may also be utilized as testing grounds for cutting-edge reinforcement learning and artificial intelligence methods.

The use of AI in robotics has evolved to meet the demands that have emerged, but generally speaking, its advantages are concentrated in particular on the automation of tasks that add little value, may endanger people because they are performed in dangerous environments, or require high precision in a repetitive manner and at a high rate of speed. Robotics is utilized in various industries outside manufacturing to boost productivity, including healthcare for remote, very precise surgeries or lab work.

As a result, there are more and more uses and applications for AI in robotics, such as autonomous navigation, which enables these machines to move independently in unfamiliar environments. This is made possible by the data that their sensors, computer vision, and machine learning systems gather and then process, using the right algorithms to detect and manipulate objects, calculate distances, and avoid obstacles. As a result, even in hazardous or inaccessible locations, these machines can navigate with ease and develop maps of their surroundings. They also employ machine learning, which enables them to draw lessons from past decisions and enhance their capacity for making them in real-time, so they do not require human involvement.

The manipulation of things follows the same rules. As the sensors supply the required information to adjust the grip force according to the object they are handling and the activity they are carrying out, using this technology results in precision and efficiency. As the robot acquires expertise, its ability to manipulate objects likewise gets better. It should be kept in mind that these are instruments created to work in tandem with people and that engagement with them is growing. They are capable of rapid adaptation to a wide range of scenarios.

The use of AI in robotics is expanding constantly, as are the research and development domains. Machine learning is used, for instance, in industrial robots to increase production capacity while lowering mistakes on the assembly line and enhancing production efficiency. It is a shift toward the autonomous mobile robot, or AMR, model in many of these situations. AI is also being utilized to enhance the capabilities of these instruments, enabling them to carry out ever-more difficult activities, such as soldering and assembling electrical components as well as intricate surgeries with more control and accuracy and less intrusive treatments for the patient. As AI and Machine Learning may be used to the use of Big Data technologies to gather and analyze sizable amounts of data relevant to various diagnostics, it is also crucial in the field of health diagnosis.

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The top 3 most promising robotics stocks to buy before May 2023 end for long-term potential gains

It’s the perfect moment to uncover the best robotics stocks to invest in because robotics is constantly increasing. Robots, long the stuff of science fiction, are now an essential component of modern life. They help us with anything from simple medical procedures to housecleaning. Although the incorporation of these technologies sometimes passes unnoticed, the sector’s tremendous development potential cannot be disregarded.

Robots are projected to become more common in our daily lives as we grow, especially as artificial intelligence technologies advance. The promising robotics stocks present a fantastic long-term potential for those eager to explore the future. In this article, we have mentioned the best robotics stocks to buy before May 2023 end for long-term gains. So, let’s look at the top 3 most promising robotics stocks to invest in right away.

1. Intuitive Surgical

As it successfully rides the tide of strong profits and sales of its da Vinci surgical system, Intuitive Surgical (NASDAQ: ISRG) is on a tear. The company’s sales are increasing as healthcare institutions deal with the escalating surgical backlog brought on by the epidemic, as seen by the extraordinary velocity displayed by its stock price. With a total return of 473% over the last ten years, ISRG stock has increased by more than 35% in the last year alone.

It just released first-quarter data, which caused a spike in the price of its shares. The growth rates were 26%, the highest since mid-2021, and the results were better than economists had predicted. As a result, it increased its 2023 procedure prediction by 5.5% to 19.5% from earlier projections. Additionally, the da Vinci surgical system’s sales increased by 12%, strengthening its global presence with a formidable 7,779 platforms installed globally.

1. iRyhthm Technologies

With its powerful cardiac monitors, iRyhthm Technologies (NASDAQ: IRTC) is at the forefront of innovation, no pun intended. With its powerful Zio heart rate monitor, which offers analysis as reliable as that of board-certified cardiologists, hospitalizations and serious cardiac events may be avoided. Additionally, it utilizes a remarkable 1 billion hours of ECG data, expertly converting its enormous data bank into a successful business.

The firm has been extremely stable throughout the years, with average 5-year sales growth of 34.3%, well above industry standards. Its most recent quarterly report shows an amazing 20.6% increase in revenues to US$111.4 million and exceptional 67.9% growth in gross margins year over year. As time goes on, its management anticipates that the company will develop into a US$1 billion corporation by 2027.

1. ABB Ltd

Robotics, automation, and electrification are being gradually reshaped by Swedish industrial tech company ABB Ltd. Despite economic challenges, the company has improved component accessibility and smart pricing techniques to support sales growth. Additionally, the company is persistently aiming for an exceptional EBITDA margin of 15%, allowing it to develop quickly.

In recent quarters, its discrete automation division has been a bright star. For instance, the company’s most recent quarter saw a strong 28% year-over-year revenue growth, bringing in a total of US$937 million. Additionally, operational income soared 423% to an astounding US$115 million. To further demonstrate its dedication to meeting the increasing demand for automation, ABB has committed US$20 million to expand its robot facility in the United States.

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Discover the findings of the Brookings Survey on the rise of robotics technology

In recent years, the advancements in robotics and artificial intelligence have fueled speculation about the future of human work and the role of robots in various industries. A survey conducted by researchers at the Brookings Institution sheds light on public opinion regarding the potential dominance of robots in performing human activities. According to the survey, an overwhelming 52% of adult internet users believe that within the next three decades, robots will have advanced to the point where they can undertake most tasks currently performed by humans. This article aims to delve into the survey findings, exploring the public’s perception of robots and their potential impact on society.

The Brookings Survey: Analysis and Key Findings

The survey, conducted through an online U.S. national poll, reached 2,021 adult internet users between June 4 and 6, 2018. It was overseen by Darrell M. West, a prominent figure in technology innovation studies at the Brookings Institution. To ensure accurate representation, the responses were weighted by gender, age, and region to match the demographics of the national internet population, as estimated by the U.S. Census Bureau’s Current Population Survey.

One of the key findings of the Brookings survey was the public’s divided opinion on the establishment of a Federal Robotics Commission to regulate robot development and usage. While 32% of respondents supported the idea, 29% were opposed, and a significant 39% remained uncertain. Analysis of the data revealed that young people aged 18 to 34 were more likely to advocate for robot regulation, as were those residing in the Northeast or West. Conversely, men, older individuals, and residents of the South displayed less support for the regulation of robots. This divergence of opinions highlights the need for ongoing discussions and policy considerations surrounding the ethical and legal implications of robotics.

The Brookings survey on robotics inquired about the likelihood of whether robots can fulfill human tasks within the next 30 years. The results revealed that 19% of respondents considered it very likely, while 33% believed it to be somewhat likely. On the other hand, 23% did not find it very likely, and 25% were unsure. Interestingly, the survey found no significant differences across demographic groups or regions, suggesting a general consensus among adult internet users about the potential rise of robots in various fields. While males and older individuals were more skeptical about this scenario, those aged 35 to 54 were more inclined to believe in the likelihood of robots taking over.

The survey also aimed to gauge people’s impressions of robots, focusing on their comfort levels and concerns. Results indicated that 61% of respondents felt uncomfortable with robots, while only 16% expressed comfort, and 23% remained unsure. Furthermore, 61% stated they were unworried about robots, while 29% expressed worry, and 22% were unsure. These responses suggest a mixture of apprehension and uncertainty regarding the integration of robots into society. Additionally, when asked about the expected prevalence of robots over the next five years, 13% believed they would become very common, 32% considered them somewhat common, 26% believed they would not be very common, and 29% were uncertain.

Desired Applications of Robots:

The survey explored the types of robots that interested respondents. The results showed that 20% were interested in robots that could assist with household cleaning, 17% desired robots for home security purposes, and only 9% expressed interest in robots that could aid in the care of children or aging relatives. These preferences shed light on the specific areas where individuals see potential benefits in integrating robots into their lives.

Pricing Expectations for Robots:

An intriguing aspect of the survey was the inquiry about how much respondents would be willing to pay for a robot that handles routine chores. The findings revealed that 42% would pay $250 or less, 10% would pay between $251 and $500, and 9% were willing to pay more than $1,000. Furthermore, there were notable differences in responses based on age, with younger individuals more inclined towards lower-cost robots.

The Question: Will Robots Take Over?

The Brookings survey offers valuable insights into public perceptions and expectations regarding the rise of robot technology. With 52% of adult internet users believing that robots will be capable of performing most human activities within 30 years, it is evident that the potential impact of robotics on society is a subject that merits serious consideration. While opinions on the establishment of a Federal Robotics Commission were divided, the survey highlights the importance of discussing regulation and governance in the context of evolving technologies. As robots continue to become more prevalent in various domains, understanding public sentiment and concerns can inform policymakers, researchers, and developers in navigating the future of robotics responsibly and ethically.

While the survey gave us insight into people’s perceptions of the likelihood of robots taking over, the question of whether will robots take over is a complex and multifaceted one. While robots and artificial intelligence continue to advance at an unprecedented rate, their capabilities are still limited and largely dependent on human programming and control. While there are concerns about the potential for job displacement and ethical implications, it is important to remember that humans possess unique qualities such as creativity, empathy, and adaptability that are difficult to replicate in machines. It is more likely that robots and humans will coexist, with robots augmenting and enhancing human capabilities in various fields rather than completely taking over. The future will require careful consideration, ethical guidelines, and collaborative efforts to ensure that technology serves humanity’s best interests and contributes to a more prosperous and sustainable world.

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Here are some top innovations in humanoid robots bringing the world beyond imagination

Humanoid robots have the utmost potential to become future industrial tools. They will continue to play a central role in robotics research and many 21st-century applications. Currently, they are likely to serve as companions and assistants in daily life and as ultimate assistants in human-made and natural disasters.

Here are some top innovations in humanoid robots bringing the world beyond imagination.

Sophia

Developed by Hong Kong-based company Hanson Robotics, Sophia is a social humanoid robot. She was activated in February 2016 and made her first public appearance at the South by Southwest Festival in mid-March 2016 in Austin, TX. Since its launch, Sophia has garnered a lot of media coverage, featuring numerous high-profile interviews, events, and panel discussions across the world. Sophia is a first of its kind of robot that received citizenship from any country and was named the world’s first UN Innovation Champion.

Toyota T-HR3

Toyota T-HR3 is a third-generation humanoid robot, which was designed from the get-go to be remote-controlled by a human. It is 1.5-meter tall, weighs 75 kilograms, and has torque-controlled freedom of 32 degrees with a pair of 10-fingered hands. The robot is designed to be a platform with capabilities that can safely assist people in a different variety of settings like homes, medical facilities, disaster-stricken areas, construction sites, and outer space. T-HR3 is controlled by a Master Maneuvering System that enables the robot’s entire body to be instinctively operated with wearable controls. That control system maps the robot’s hand, arm, and foot movements and a head-mounted display allow users to see from the robot’s perspective.

Honda E2-DR

E2-DR is a disaster response robot from Honda that is able to navigate through dangerous, complex environments. The robot looks like a humanoid, and is heavier and tougher than the company’s Asimo, first presented in 2000. Honda E2-DR is designed to perform as a rescuer in a broad range of situations dangerous for human rescuers, including areas with high background radiation or in a structurally unsound, badly damaged building. Armed with three LED-equipped cameras, rotating laser rangefinders, infrared projectors, and 3D cameras to navigate its potentially hazardous environments, Honda E2-DR is 1.68 m tall, and 85 kg in weight.

Xin Xiaomeng

Xin Xiaomeng is the first female AI news anchor at the Chinese state-owned Xinhua news agency. In February last year, the news agency divulged its latest effort to deliver content through AI. Working in collaboration with the Chinese search engine company Sogou to produce Xin, the robot made her debut at China’s Two Sessions meetings. Xin Xiaomeng is the second AI-based news anchor working for the news agency, developed in collaboration with Sogou. Xinhua has been experimenting with AI-driven journalism in recent years, including a robot reporter whose attempt to emulate a human went slightly awry.

Boston Dynamics Atlas

Atlas is a bipedal humanoid robot that was developed by Boston Dynamics, with funding and oversight from the U.S. Department of Defense agency, DARPA. The robot, which is 1.8-meter tall, is designed for the DARPA Robot Challenge. Unveiled in July 2013, the objective of this robot was to assist in a variety of search and rescue tasks. The control system of Atlas coordinates motions of the arms, torso, and legs to accomplish whole-body mobile manipulation, significantly expanding its reach and workspace. The second Atlas generation could walk on snow, pick up boxes, and stand up alone after falling, which humanoids are prone to perform.

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Chinese the NetDragon Websoft company appoints a humanoid robot, Ms. Tang Yu as its CEO

The China-based mobile game company NetDragon Websoft appointed an artificial intelligence-powered virtual human being as the general manager of the humanoid robot named Tang Yu. NetDragon Websoft is one of the most reputable and well-known online game developers in China. The NetDragon Websoft company has also made several acquisitions in the areas of community and education, including the establishment of the UNT-NetDragon Digital Research Centre through a collaboration with the University of North Texas.

The virtual CEO, Ms. Tang Yu started her position in the company’s principal subsidiary, Fujian NetDragon Websoft. Tang Yu to build an open, interactive, and highly transparent management model. Tang Yu will streamline process flow, enhance the quality of work tasks, and improve the speed of execution. No detailed information about the humanoid robot has been disclosed so far. The robot will be a top executive at the company valued at nearly $ 10 Billion.

Chinese the NetDragon Websoft company appoints a female robot as its CEO:

According to the NetDragon Websoft company, Tang Yu will support decision-making during the company’s daily operations and provide a more effective risk management system. This move would pioneer the use of artificial intelligence to transform corporate management and leapfrog operational efficiency to a new level. It would not make much sense to think of today’s technology without artificial intelligence.

Looking forward, the NetDragon Websoft company will continue to expand on its algorithms behind Tang Yu, the NetDragon Websoft company CEO to build an open, interactive, and highly transparent management model as we gradually transform into a metaverse-based working community. Chinese companies have been quick to jump in on the potential of the metaverse. By 2025, the worldwide metaverse market is expected to be worth $280 billion with players like Microsoft and Meta investing in it.

The founder of the NetDragon Websoft company Dr. Dejian Liu, believe AI is the future of corporate management, and the appointment of Ms. The humanoid robot, Tang Yu represents their commitment to truly embrace the use of AI to transform the way they operate their business and ultimately drive their future strategic growth. She will also serve as a real-time data hub and analytics tool for the board as well as enable a more effective risk management system. Dr. Liu further stated that the humanoid would serve as a real-time data hub for the organization and a decision-making analytical tool.

Tang Yu, the NetDragon Websoft company CEO duties also include providing a fair working environment for the employees. The use of AI in the NetDragon Websoft company is very new and could lead to unprecedented levels of production and effectiveness. Tang Yu is expected to play a critical role in the development of talents and ensure a fair and efficient workplace for all employees. Additionally, the NetDragon Websoft corporation stated that this AI will play an important role in risk management.

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This article framed the top AI thesis topics Ph.D. students should use in their research

AI is the technology of smart devices that can replicate and works like the human brain. Artificial Intelligence has still made a lot of advancements in these times. There is a lot of research happening in almost all fields of AI like computer vision, quantum computing, healthcare, the IoT, autonomous vehicles, robotics, and more. This article is framed to offer the artificial intelligence dissertation topics to the enthusiasts presented.

Internet of Things Analysis: The Internet of Things, on the other hand, is a network of various devices that are connected over the internet and they can collect and exchange data with each other. IoT devices are wirelessly connected to the digital environment. IoT is used to collect and handle the huge amount of data that is required by Artificial Intelligence algorithms. The main objective of this idea is to analyze the utility of IoT in AI.

Reinforcement Learning: Reinforcement Learning is a part of Artificial Intelligence in which the machine learns something in a way that is similar to how humans learn. The Reinforcement Machine Learning Algorithms learn optimal actions through trial and error. It is one of the best research and thesis topics for AI projects in 2022.

Computer Vision: Computer Vision uses Artificial Intelligence to extract information from images. The concept of computer vision is based on teaching computers to process an image at a pixel level and understand it. An application of computer vision is navigation for autonomous vehicles by analyzing images of surroundings.

Banking Bot: Banking bot is one of the excellent thesis topics for AI projects in 2022. This AI project involves building a banking bot that uses AI algorithms. It is a specially designed application for banks where users can ask bank-related questions like accounts, credit cards, etc.

Machine Learning: Machine learning is a type of AI that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. The choice of algorithms depends on what type of data do we have and what kind of task we are trying to automate.

Deep Learning: Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans. These neural networks are connected in a web-like structure like the networks in the human brain.

Robotics: Robotics is a field that deals with creating humanoid machines that can behave like humans and perform some actions like human beings. AI allows robots to act intelligently in certain situations. These robots may be able to solve problems in a limited sphere or even learn in controlled environments.

Natural Language Processing: NLP is currently extremely popular for customer support applications, particularly chatbots. NLP reads, understands, and analyses the languages of human beings. There are many subparts of NLP that deal with language such as speech recognition, natural language translation, etc. The main objective of this idea is to evaluate the NLP’s role in AI

AI, Robotics & Machine Learning Enabled Healthcare: These technologies offer the exact details to take immediate treatments. The right time of medicine application can save human life. In addition, they detect the diseases at the beginner stages before the exploration.

Heart Disease Prediction Project: It is one of the best thesis topics for AI projects in 2022 designed to provide online guidance to patients suffering from heart diseases. This heart disease prediction application will help combat the issue.

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Digital humanoids trained to play soccer to help them move more human-like with DeepMind

The Alphabet-backed AI firm, DeepMind is making use of virtual games to help its digital AI humanoids creation move more like humans. Digital humanoids are trained to play soccer to help them move more human-like. DEEPMIND’S pulled out all the stops to teach an AI to play soccer and starting with a virtual player writhing around on the floor—so it nailed at least one aspect of the game right from kick-off.

But forcing the mechanics of the beautiful game—from basics like running and kicking to higher-order concepts like teamwork and tackling—proved a lot more challenging, as new research from the Alphabet-backed AI firm illustrates. The work—published midweek in the journal Science Robotics—might seem flippant, but studying the fundamentals of soccer could one day help robots to move around our world in more natural, more human ways.

Guy Lever, a research scientist at DeepMind says “To ‘solve’ soccer, one has to solve lots of open problems on the track to artificial general intelligence [AGI].” An AI has to refurbish everything human players do—even the things we don’t have to consciously think about, like exactly how to move each limb and muscle to connect with a moving ball—making thousands of decisions a second.

DeepMind’s simulated digital humanoid agents were modelled on actual humans, with 56 points of articulation and a constrained range of motion—meaning that they couldn’t, for instance, rotate their knee joint through impossible angles à la Zlatan Ibrahimovic. To start with, the researchers simply provided the agents a goal—for example, run, or kick a ball—and let them try and figure out how to get there through trial and error and increase learning, as was done in the past when researchers instructed simulated digital humanoids to navigate obstacle courses.

“This didn’t work,” says Nicolas Heess, also a research scientist at DeepMind, and one of the paper’s co-authors with Lever. Due to the complexity of the problem, the huge range of options available, and the lack of initial knowledge about the task, the agents didn’t have any plan where to start—hence the writhing and twitching.

General training was followed by single-player drills: running, dribbling, and kicking the ball, mimicking the way that humans might learn to play a new sport before diving into a full-match situation. The augmentation learning rewards were things like successfully following a target without the ball, or dribbling the ball close to a target. This curriculum of skills was a natural way to build toward increasingly complex tasks, Lever, another research scientist at DeepMind says.

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Intel Labs has developed one of the architectures in the field the Loihi neuromorphic chip

Scientists have tapped neuromorphic computing to keep robots learning about new objects after they’ve been deployed. It specifically targets future applications like robotic assistants that interact with unconstrained environments, including in logistics, healthcare, or elderly care. Intel Labs has developed one of the most notable architectures in the field the Loihi neuromorphic chip. Intel Labs, in collaboration with the Italian Institute of Technology and the Technical University of Munich, has introduced a new approach to neural network-based object learning.

Intel Loihi Neuromorphic Chip:

Loihi is comprised of around 130,000 artificial neurons, which send information to each other across a “spiking” neural network (SNN). The SNN representation is learned or updated. Lohi chip is based on Intel’s 14nm technology and will house a core mesh that supports a wide range of neural network topologies. Further, it is up to 1,000 times more energy-efficient than general-purpose computing required for typical training systems. Loihi chips are particularly good at rapidly spotting sensory input like gestures, sounds, and even smells.

The chips had already powered a range of systems, from smart artificial skin to an electronic “nose” that recognizes scents emitted from explosives. The method targets systems that interact with unconstrained environments, such as future robotic assistants for healthcare and manufacturing. Using these new models, Intel and its collaborators successfully demonstrated continual interactive learning on Intel’s neuromorphic research chip.

The researchers first implemented an SNN on Loihi. This architecture localizes learning to a single layer of plastic synapses. Their goal is to apply similar capabilities to future robots that work in interactive settings, enabling them to adapt to the unforeseen and work more naturally alongside humans. Intel believes that neuromorphic computing offers a way to provide exascale performance in a construct inspired by how the brain works.

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Nvidia going ahead to design autonomous mobile robots to be faster and more agile than ever before.

Artificial intelligence technology is throwing its significant remarks in all aspects of society and business and transforming it to the next level. This, as result, attracted big techs like Nvidia to go ahead to design autonomous mobile robots to be faster and more agile than ever before.

At present, robots possess the capability to do more than just perform tasks. They can learn, adapt, and evolve using capabilities like artificial intelligence, machine learning, computer vision, navigation, and many more. Nvidia has used the power of deep learning to drive this exciting new era of smart embedded robotics—from manufacturing and agriculture to security and home-based healthcare. Nvidia’s simulation technologies are being harnessed advance futuristic autonomous mobile robots (AMRs) to be faster and more agile than ever before.

Nvidia’s GPU Technology Conference (GTC) did pair of announcements aimed at accelerating the development of AI on the edge and enabling autonomous mobile robots or AMRs. Recent developments at Nvidia will accelerate the creation of artificial intelligence applications, Deepu Talla, Nvidia’s vice president of embedded and edge computing. said. “Until a year or two ago, very few companies could build these AI products, because creating an AI model has been very difficult,” he said. “We’ve heard it takes months if not a year-plus in some cases, and then it’s…a continuous iterative process. You’re not done ever with the AI model.”

However, Nvidia has been able to decrease that time considerably by doing three things, Talla said. The first one is including pre-trained models for both computer vision and conversational artificial intelligence. The second is the capacity to generate synthetic data on its new Omniverse platform. Lastly, transfer learning gives Nvidia customers the ability to take those pre-trained models and customize them to a customer’s exact specifications by training with “both physical real data and synthetic data,” he said.

German research group Fraunhofer Research is making use of Nvidia’s technology for its O3dyn platform established to discover and test the manufacturing of autonomous mobile robots by simulating their design and testing their reactions to different environments. The team is anticipating accelerating the speed, agility, and accuracy of these robots, creating high-speed, multi-purpose AMRs for logistics and manufacturing deployment. “We’re looking at how we can go as fast and as safely as possible in logistics scenarios,” uttered Julian Eber, a robotics and AI researcher at Fraunhofer IML.

Notably, the team is making use of Nvidia’s Isaac Sim – a scalable robotics simulation application – to develop 3D, physically error-free digital renderings of the AMRs in various environments, testing their capabilities in each scenario to fine-tune their navigation and speed. Fraunhofer says that Nvidia’s tech empowers the company to scan and digitally replicate more than 5,400 robotic parts, as well as customize every one with physically accurate specifications to virtually create and test different iterations of AMRs. These pallet-moving robots reportedly possess capabilities of reaching speeds of up to 30 mph, with artificial intelligence-assisted wheels for navigating through a variety of obstacles. O3dyn also harnesses the NVIDIA Jetson edge artificial intelligence and robotics platform for its camera and sensor inputs. “The omnidirectional dynamics is very unique, and there’s nothing like this that we know of in the market,” stated Sören Kerner, head of artificial intelligence and autonomous systems at Fraunhofer IML.

The team also declared that the project is minimizing the gap between sim technology and real life, meaning that digital renderings of situations are becoming increasingly inch-perfect allowing engineers to bring robots from concept to deployment more quickly than ever before – a concept Fraunhofer calls simulation-based artificial intelligence. “This is important for the future of logistics,” said Kerner. “We want to have as many people as possible work on the localization, navigation, and artificial intelligence of these kinds of dynamic robots in simulation.”

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Cockroach Turned Superman! Cyborg Technology is Taking New Leaps

A team of scientists engineered in Singapore, a system for creating remote-controlled cyborg technology cockroaches equipped with a tiny wireless control module. A cockroach fitted with a “backpack” computer and infrared camera, controlled by electrodes, could help locate warm bodies in the rubble of buildings destroyed by earthquakes. The ultra-thin electronics and flexible materials allow the “cockroaches” to move freely. This project turns the conventional approach to insect-like drones on its head.

Hirotaka Sato at Nanyang Technological University in Singapore and his colleagues fitted Madagascar hissing cockroaches with tiny computers connected to electrodes implanted in sensory organs known as cerci on the left and right side of each insect. Madagascar-hissing cockroaches are widely used for cyborg technology insect research. This is one of the world’s largest cockroaches, reaching up to 3 inches in length, the team selected this species for its high payload capacity during flight.

Remote-controlled cockroaches to insect-like drones:

Researchers have been exploring ways to tether live insects to miniaturized computer hardware so they can manipulate an insect’s movement. The researchers spent years studying how to remote-control the movements of the cockroach by using electrodes to stimulate different neuromuscular sites, including those that activate flight. They also included an ambient temperature sensor and a tiny Bluetooth transmitter and receiver. Though there is already technology present to control cockroaches, the microcircuit developed here offers a greater degree of freedom in movement than in conventionally designed ones.

The method uses power from a rechargeable battery attached to a solar cell. Cockroaches have two antennae on their anterior end. These antennae assist to guide cockroaches through the world by sensing touch and smell. The ultrathin electronics and flexible materials allow the ‘cockroaches’ to move freely. These tiny “hair-like” sensors are connected directly to neurons that communicate messages to the cockroach brain. The body-mounted organic solar cell module achieves a power output of 17.2 mW.

The microcircuit incorporates a 9-axis inertial measurement unit that can detect the roach’s six degrees of free motion, its linear and rotational acceleration, and its compass heading. The microcircuit was designed by the research team in a trial-and-error method. The microcircuit developed is a small but a certain step toward bio-robots that are not only insect-driven but fall under the broad umbrella of human cybernetic integration. Future real-world applications for cyborg technology roaches would need the critters to crawl where humans couldn’t watch from overhead.

The backpack also contains a small infrared camera that detects heat signatures from humans, sensors that identify body movement and carbon dioxide, and a chip that wirelessly transmits data back to the rescue team. The researchers had to find the optimum voltage, frequency, and cycle needed for the stimuli to respond. The tests showed the cockroach moving left when its right antenna lobe was stimulated and moving right when the left one received a small electrical charge. Toward that end, the research team wants to outfit the control backpacks with sensors like GPS, compass, and accelerometer.

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