Articles tagged with Robots
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Researchers at IIT and Harvard University identified the tricks used by the brain to discriminate and generalize odorous molecules. The study sheds light on how our brain processes information from the sense of smell, revealing a new mechanism for recognizing specific smells.
Researchers developed a single-camera machine vision algorithm allowing indoor robots to guide themselves by identifying reference points on a tiled floor. The technology has wide-ranging potential applications in warehouses, distribution centers, and industrial settings.
A Carnegie Mellon-developed navigation system, SemExp, uses machine learning to train robots to recognize objects and understand their locations in a home. This enables the system to think strategically about how to search for something, making it more efficient than classical robotic navigation systems.
Researchers create 3D Dynamic Scene Graphs, enabling robots to quickly generate maps of their surroundings and extract relevant information. The new model is modeled after human perception and allows robots to navigate and make decisions like humans.
The NUS team created a sensory integrated artificial brain system that mimics biological neural networks, combining artificial skin and vision sensors to enable accurate conclusions about objects in real-time. The system achieved over 92% accuracy in classifying Braille letters and outperformed traditional systems in grasping tasks.
Researchers at Carnegie Mellon University developed a system that enables robots to pick up transparent and reflective objects using a color camera and depth images. The system outperforms previous methods in grasping these challenging objects, with high success rates in both clean and cluttered environments.
The study used advanced metrics from information theory to describe the collective behavior of small schools of ayu fish, finding that groups of three or more exhibited noticeably different dynamics. This work may aid in developing cooperative biomimetic swarming robots and help understand fundamental problems in complexity theory.
Researchers propose STyLuS*, a new approach to solving complex robot control problems, by growing 'trees' in the search space to find optimal solutions. This method reduces memory requirements and processing power needed for large-scale robotic tasks.
Researchers created jellyfish-bots that can outswim real-life counterparts and exhibit powerful movement. The new technique uses pre-stressed polymers to make soft robots more efficient, enabling faster speeds and improved performance.
Using highly novel techniques, researchers observed upper ocean currents of approximately 0.1-10 km in size, critical for controlling heat and carbon movement between the ocean and atmosphere. These findings contribute to improving our understanding of small-scale ocean and climate processes with impacts globally.
Researchers at UC Riverside developed a new film made of gold nanoparticles that can respond to any type of movement, enabling robots to mimic chameleons. The material's complex patterns can be displayed through programming, opening up various applications such as underwater exploration and authentication features.
Scientists study cockroach movements to understand how animals overcome energy barriers in tricky terrain. By mimicking cockroaches' 'jittering' legs, researchers create robots that can transition between movements with ease.
Researchers created flexible feet using coffee grounds and structures inspired by nature, allowing robots to walk up to 40% faster and grip better on various terrains. The new design outperforms traditional robot feet in adapting to natural environments.
Researchers from National University of Singapore developed a new stretchable material called HELIOS that can store more electronic charges at lower voltages, enabling higher brightness and longer operating lifetime. The material has self-healing properties, allowing it to repair itself under ambient environmental conditions.
Researchers demonstrate that locally observed robot distribution can correlate with environmental features, such as exits in office-like environments. This approach enables trapped office workers to navigate their way out of a collapsed building, even in scenarios where robots lack communication or sensors.
Researchers at Harvard have developed a fast-moving jumping soft actuator that harnesses the energy released by buckling to achieve speed. The device uses shell buckling similar to toy poppers, enabling it to catapult itself into the air and navigate safely through uncharted landscapes.
Christoph Keplinger's research focuses on soft robotics, artificial muscles, and medical applications. He aims to rethink robotics by merging soft matter with advanced technologies.
Researchers found that audiences preferred robot comedians with good timing, leading to higher laughter ratings. Adaptive performances also improved audience perception of individual jokes, but not overall funniness.
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.
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.
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.
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.
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.
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.
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 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.
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.
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 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.
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.