Articles tagged with Robots
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.
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 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 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 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.
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.
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.
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.
Researchers at UC San Diego developed soft actuators that can be controlled electrically, making them compatible with small electronic devices and batteries. These actuators enabled the creation of compact, portable and multifunctional soft robots with various applications.
Researchers at U.S. Army Research Laboratory have made significant breakthroughs in developing artificial nanomotors inspired by biological molecules, which can harness Brownian motion for efficient energy production. These advancements aim to create faster, more versatile robots with improved autonomy and stealth capabilities.
Deep3DFly uses computer science and neuroscience to model fly movements and poses, enabling robots to climb challenging terrain. The system can automatically predict and correct errors in calculations, opening up new possibilities for robotics and medicine.
The research team aims to design algorithms that optimally distribute computation between robots and the cloud for guaranteed safe robotic operation. 5G systems offer higher data rates but pose challenges due to limited bandwidth and high latency, requiring new control algorithms that can exploit high-rate links when available.
The CURSOR project aims to locate survivors trapped under rubble more swiftly and with less risk. The EU-Japan collaboration has developed miniaturized robots equipped with cameras, thermographic capabilities, and chemical sensors to detect human presence.
Researchers created a squidlike robot that uses pulsed jet propulsion, achieving high speeds while minimizing environmental impact. The device can test water samples simultaneously, making it suitable for environmental monitoring.
Compound lenses developed by researchers are inspired by mosquito eyes, providing a wide field of view with rapid imaging capabilities. The new design has antifogging properties, similar to those found in mosquito eyes, making it suitable for applications in drones, robots and medical devices.
A new study by the US Army Research Laboratory found that humans' confidence in robots decreases significantly after a mistake, regardless of transparency. Participants rated the unreliable robot as less trustworthy, likable, and safe than the reliable one.
Researchers developed Tunabot to better understand fish propulsion, which could lead to faster, more efficient propulsion systems for underwater vehicles. The robot's design was informed by studies of yellowfin tuna and mackerel, and its performance data sets a high standard for the field of fish robotics.
Researchers created robots entirely from smaller robots called smarticles, unlocking a new locomotion technique. The smarticles can form structures and move in response to stimuli, allowing them to navigate mazes and even change their shapes.
Researchers develop robotic fish predators that induce fear responses in mosquitofish, triggering avoidance behaviors and physiological changes associated with energy reserve loss. Brief exposure to a robotic largemouth bass replica provokes meaningful stress responses in mosquitofish.
The SUTD researchers developed a strong, flexible and scalable multi-robots system that can be used in intelligence, surveillance and reconnaissance operations. The system includes a combination of a wheeled ground unit and miniature robots, allowing it to be scalable and explore dynamic environments.
Researchers at Cornell University have developed a stretchable optical lace material that enables soft robots to sense their environment through mechanosensors. The material allows robots to detect changes in stress and strain, enabling them to adjust their actions accordingly.
Researchers at Carnegie Mellon University have created a computer model that can translate text describing physical movements into simple computer-generated animations. The Joint Language-to-Pose model enables sentences and physical motions to be jointly embedded, learning how language is related to action, gestures, and movement.
Researchers found that immediate robot responses stimulated wild Galápagos lizards to react more quickly and often than delayed responses. This may help lizards assess their competitors' aggression levels and avoid injury. The study used realistic robots to simulate displays, providing new insights into lizard communication.
Researchers from SUTD, SUSTech, and ZJU proposed a generic process flow for guiding DLP 3D printing of miniature pneumatic actuators for soft robots. This enables the production of miniature soft robotic actuators with complex geometries and sophisticated multimaterial designs.
Biomechanics researchers at Georgia Institute of Technology used cockroaches' sprints to develop a method for assessing and improving robot locomotion. The new approach focuses on phase-coupling oscillations, allowing it to work with both insect and robotic systems.
A team of scientists from FEFU developed a software module to automatically diagnose defects in sensors and electric drives in various kinds of robots. The system can compensate for detected defects in real time, preserving the required levels of operating quality.