Articles tagged with Robots
Researchers developed soft robotic technology using reservoir computing, enabling flexible control of pneumatic artificial muscles. This innovation may lead to wearable rehabilitation devices, biomedical robots, and remote-sensing applications, all with improved safety and adaptability.
Researchers developed a real-time physics engine for simulating the movements of soft robots, which can be used for autonomous operations. The engine uses the discrete elastic rods (DER) algorithm, allowing for faster-than-real-time simulation of hundreds of movements.
A group of researchers developed a new way for robots to pool data in real-time, allowing them to navigate difficult terrain as a team. The system uses a centralized data cloud, where each robot draws on data from other robots to steer clear of obstacles.
The new soft robotics, called LEAP, have a spring-powered spine that enables rapid switching between stable states, allowing for faster movement and more forceful grasping. This innovation outperforms previous soft robots by reaching speeds of up to three times faster on solid surfaces.
Researchers studied geckos' unique toe mechanism, which allows them to adjust and distribute weight on various surfaces. This adaptation enables agile locomotion and is crucial for designing effective robot feet and grippers.
Engineers have demonstrated a technology that can transmit electricity wirelessly to recharge electric cars, robots or even drones while they move. The system boosts efficiency to 92% and can transmit 10 watts of electricity over short distances.
A new research study investigated how service robots in hotels could help redefine leadership and boost the hospitality industry. The results showed that while service robots increase efficiency, they also pose challenges like high costs and skill deficits.
Cognitive neuroscientists are using computers to illuminate human emotions, overturning old ideas about emotion structure. Facial expression recognition across cultures reveals only four cross-cultural expressions, while digital agents can now generate nuanced, culturally sensitive expressions.
A study by MIT economist Daron Acemoglu finds that adding one robot per 1,000 workers reduces national employment-to-population ratio by about 0.2 percent, with some areas affected more than others. This translates to each additional robot replacing about 3.3 workers nationally, on average.
Researchers at the University of Illinois at Urbana-Champaign developed spinobots that can walk using a rat muscle and spinal cord tissue. The integration of the spinal cord gives them a natural walking rhythm, which could have implications for neurocomputing and restorative medicine.
Researchers have developed a metal-air scavenger that provides power by breaking chemical bonds in metal surfaces, outperforming batteries and harvesters. The technology has 10 times more power density than the best energy harvesters and 13 times more energy density than lithium-ion batteries.
A study published in Royal Society Open Science found that small and slowly moving robots can effectively monitor the behavior of salmon in fish farms without scaring them off. The results suggest that these robots can provide valuable insights into the state of the fish, including their health, parasites, and feeding habits.
A study published in the Journal of Economic Psychology found that people extend similar levels of trust to humans and robots. However, social emotions such as anger, gratitude, guilt, and pride vary depending on partner type, with participants experiencing more intense emotions when interacting with humans.
Researchers are using a new variant of reinforcement learning to train robots to predict multiple possible outcomes and choose the safest option. The algorithm will assign points to different outcomes, such as rewarding safer options and penalizing those that put the robot in danger.
William Beksi, a UTA computer scientist, is developing topological methods to process large-scale 3D point cloud data, aiming to overcome limitations in robotic perception applications. This new approach uses persistent homology to extract unique insights into the structure of point cloud data.
A new review examines two decades of research on how people develop trust in AI, finding representation, capabilities, and anthropomorphism play key roles. The study proposes a framework to guide organizations integrating AI into work.
Researchers found that robotic turtles with small size and slow movements disturb fish minimally, promoting better fish welfare and efficiency. This technology can provide online updates and monitoring without human intervention, leading to quicker responses and lower mortality rates.
Researchers outline robots' potential roles in clinical care, logistics, and reconnaissance to combat COVID-19. They suggest robots for disinfection, delivery, and monitoring compliance with quarantines.
Researchers argue that robots can help combat COVID-19 by performing 'dull, dirty and dangerous' jobs such as disinfection and temperature checking. The use of robots in pandemic response could reduce human exposure to pathogens and be essential for future epidemics.
A study by psychologists at Friedrich-Schiller-Universitaet Jena found that older people are more open to robots, particularly those resembling humans. The researchers tested participants with varying levels of autistic traits and found that older individuals with stronger autistic tendencies were more accepting of machines.
A study found that robot vulnerability fosters teamwork by encouraging humans to spend more time talking to each other, leading to more positive team dynamics. The results suggest that designing artificial agents to promote social engagement can lead to improved human collaboration.
A Yale University study found that robots expressing vulnerability improve human-to-human communication, leading to more positive group experiences. Humans on teams with vulnerable robots spent twice as much time talking to each other and reported enjoying the experience more.
A team of researchers from NYU Tandon and Canada have developed a machine learning model called PHTNet, which enables robots to accurately predict and compensate for hand tremors in patients with Parkinson's disease. The model has been tested on a dataset of 81 patients and reported a 95% confidence rate over 24,300 samples.
The use of robots in neuroendovascular procedures could significantly change acute stroke treatment. The advanced technology provides precise control over microcatheters and microwires, reducing radiation exposure for surgeons.
The researchers created disc-shaped magnets about 2 millimeters in diameter, called ferrobots, which can move and manipulate droplets of fluid with precision. These robots could transform various biotech-related industries, including medical diagnostics, drug development, genomics, and the synthesis of chemicals and materials.
Future factories will require new skills and organizational structures that prioritize human collaboration with robots. Research explores the psychological effects of working alongside large industrial robots and developing tools to enhance robot design.
Developers need to acknowledge importance of inclusivity for LGBTQ+ community in robot design. Technology reflects societal biases, and excluding queer perspectives is a problem that should be recognized in research and design.
Stephanie Gil, an assistant professor at Arizona State University, has been awarded a Sloan Research Fellowship for her groundbreaking robotics research. Her work focuses on coordinating control across systems of multiple robots, with implications for search and rescue operations and emergency services.
Engineers at Caltech and Stanford have created a microelectronic controller that enables jellyfish to swim three times faster than usual without stressing the animals. The prosthetic uses electrical impulses to regulate and speed up the pulsing motion, making the jellyfish over 1,000 times more efficient than swimming robots.
Researchers created a suction unit that can grip rough surfaces, overcoming vacuum leakage limitations. The zero-pressure difference method uses a high-speed rotating water ring to maintain vacuum and achieve energy efficiency.
Researchers developed a control method that allows robots to better lift and move patients without compensating for friction, improving patient safety and comfort. The next step is to add a torso to the robot's arm, making it more human-like.
Researchers have developed a robotic gripping mechanism inspired by the sea anemone's ability to catch prey. The device can grasp various objects of different sizes, shapes, and materials using its thermoplastic rubber skin.
A team of scientists has created the first living robots, 'xenobots', by assembling frog embryo cells into new life forms. These biodegradable organisms can move, heal themselves, and even carry payloads, promising advances in drug delivery, toxic waste clean-up, and more.
Researchers have developed bioinspired shapes that serve as acoustically conspicuous guideposts for sonar-guided autonomous vehicles. These bioinspired sonar reflectors were tested in experiments and showed promising results, enabling robots to navigate through new environments with improved accuracy.
The MIPT team developed a new method for reinforcement learning with demonstrations, enabling rapid solution of hierarchical problems in Minecraft. This approach opens opportunities for applying reinforcement learning to real-world tasks like autonomous vehicle control and manipulator control.
A team of Brown University researchers has developed a way to measure the forces involved in the Cheerios effect, a phenomenon where cereal bits cluster together in milk. The experiment revealed that traditional models under-predicted the force, but adding tilt conditions improved agreement.
The 5G-DIVE project validates 5G technology for remote control of industrial robots and autonomous coordinated drone flight, requiring high bandwidth and low latency. The project aims to improve performance and corporate value through Fog Computing and intelligent design.
Researchers are working on a new project to develop transparent and explainable deep-learning AI computing models that make decisions. The project will use adversarial training techniques to understand how neural networks learn and make predictions.
Nader Motee is investigating real-time perception and planning for networks of robots, aiming to improve efficiency and resiliency. His research also focuses on risk-aware planning and control to mitigate effects of local failures in nonlinear dynamical networks.
Researchers are developing robotic networks that can work independently but collaboratively to accomplish complex tasks. By using genetic fuzzy logic, they were able to get three robots and then five robots to move a token to a designated spot on a table.
Skoltech PhD students won the Best Demo Award at ACM Siggraph Asia 2019 for their SwarmCloak technology, a novel system for landing flying robots onto the human arm. The team successfully demonstrated the tech over three days with no malfunctions.
The NUS researchers developed a novel metal-based material using platinum and burnt paper, which is half as light as paper and can withstand temperatures up to 800°C. This material enables the creation of flexible and lightweight prosthetic limbs with real-time strain sensing capabilities.
A US Army Research Laboratory team developed new algorithms to integrate context into artificial intelligence, advancing robotics and AI processes in areas like natural language communication and world model development. The research supports the Next Generation Combat Vehicle by integrating context-driven AI within human-autonomy teams.
Researchers at MIT developed a model that learns a compact state representation for soft robots, optimizing movement control and material design parameters. This enables 2D and 3D soft robots to complete tasks quickly and accurately in simulations.
A new robotic skin called ElectroSkin has been created, which can crawl across surfaces using artificial muscles and electrical charges. This innovative technology could lead to the development of soft robots for environmental monitoring, robot grippers, and wearable technologies.
Tiny robots equipped with magnets are steered through arteries to break up blood clots using controlled rotating magnetic fields. This non-invasive method has the potential to improve patient comfort and reduce the risk of infection, making it a promising alternative to current treatments.
MM3D printing breaks the speed barrier for multimaterial 3D printing by switching between up to eight materials at 50 times per second. This enables the creation of complex shapes and origami-like architectures with high quality transitions.
The new SLAS Technology auto-commentary discusses the challenges of gathering analytical measurements and introduces realized-based measurement systems as potential replacements. These systems use robots as central system integrators, providing flexibility and enabling decentralized open systems.
Researchers argue that incorporating sex and gender into scientific studies can improve experiments, reduce bias, and lead to new discoveries. Examples include advancements in climate change research, facial recognition systems, and social robots. The goal is to increase transparency and promote inclusion in research.
A new USC study found that training robots with a human adversary significantly improves their grasp of objects, leading to better performance in manipulation tasks. The researchers discovered that this approach helps robots learn more stable grasps and succeed more often in real-world environments.
Researchers create method that enables robots to use environmental clues to plan routes, reducing time spent exploring properties and eliminating the need for maps of specific residences. The approach leverages pre-existing algorithms to generate a new map of the environment as the robot moves around, represented as semantic clues.
Cornell researchers develop inexpensive, touch-sensitive soft robots to predict grape yield and detect fungal threats. The method uses machine learning to analyze plant growth patterns, allowing for early prediction and more time for planning.
Researchers at Purdue University have developed fast-acting robots capable of re-creating bioinspired high-powered and high-speed motions using stored elastic energy. These robots, similar to the chameleon's tongue strike, can catch live insects in just 120 milliseconds.
A new MIT system uses computer-vision techniques to detect and classify subtle changes in shadows on the ground, enabling autonomous vehicles to quickly avoid collisions with other objects. The system outperforms traditional LiDAR technology by more than half a second in real-world scenarios.
A joint research team has successfully designed a swarm of tiny drones to explore unknown environments autonomously. The drones use a novel bug algorithm that enables them to navigate back to a base station while avoiding obstacles and detecting victims, showcasing the potential for swarms in search-and-rescue scenarios.
Researchers at MIT have compiled a comprehensive dataset of robotic pushing dynamics, capturing the behavior of hundreds of different objects. This dataset, called Omnipush, enables robots to learn fundamental object manipulation tasks, such as reorienting and inspecting objects, by training on a diverse range of pushing scenarios.
Researchers developed a new technology to produce flexible 3D medical devices by selectively bonding polymeric thin films using plasma. This method overcomes limitations of existing flexible 3D structures, enabling mass production with customized shapes and wire patterns.
Researchers at MIT have created an algorithm that significantly speeds up the planning process required for robots to adjust their grasp on objects. The new approach uses motion cones to efficiently calculate feasible pushes and reposition objects in less than a second, compared to traditional algorithms that take over 500 seconds.
A new study examines the effectiveness of artificial intelligence in mediating conflict among team members. Researchers found that while humans initially engaged with a virtual agent during mission planning, their engagement decreased as conflicts arose, suggesting a limit to trust in AI-mediated conflict resolution.
Researchers have developed a new kind of robotics that can assemble large structures from identical subunits using simple robotic systems. The system works by having the robot work together with the structure, adjusting its position as it adds each piece, allowing for efficient and precise assembly.