Articles tagged with Robots
The Center for Scalable and Intelligent Automation in Poultry Processing will hold its first field day on April 9 to share research on developing new robotic technologies. Researchers will demonstrate tools for deboning, detecting foreign materials and pathogens, as well as using virtual reality to operate equipment remotely.
A novel AI-based framework, EDGCN, decodes dynamic variations in EEG patterns for better brain-computer interface technology. The model outperforms current state-of-the-art methods with high classification accuracies and decoding accuracy, enabling more seamless communication between the human brain and machines.
Researchers at Oxford University developed an ultra-low-cost technique for manufacturing soft robots, using common lab equipment. The new method enables rapid and affordable production of soft robotic actuators, with a material cost of less than $0.10 per unit, and demonstrated strong mechanical performance and durability.
Researchers have advanced humanoid robot control, motion planning, and perception using Valkyrie, a 10-year mission robot developed by NASA. The university will continue research with Talos, a 1.75-metre-tall robot, to study human-robot cooperation and adapt to changing environments.
Researchers at Northwestern University have developed AI-designed robots called 'legged metamachines' that can combine and recombine in the wild, recover from injury and transform into new shapes. The robots can adapt to the environment, survive catastrophic damage and even recover from being chopped in half or cut into pieces.
The new dynamic shielding layer allows the sensor to focus on specific areas when needed, achieving a 104.56% increase in detection depth. The sensor can also detect approaching objects from over 90mm away, providing a vital split-second for robots to avoid collisions.
Researchers developed photonic computing chips that enable fast, all-optical learning and decision making, overcoming key limitations for photonic spiking neural systems. The new chips could improve autonomous driving technologies and enable robotic systems that learn through real-world interactions.
Researchers at King's College London develop SimTac platform to simulate biologically inspired robotics, creating artificial sensors with a human-like sense of touch. This approach reduces the design and training time of tactile robots from 18 months to just two weeks.
Researchers at Harvard's John A. Paulson School of Engineering and Applied Sciences have developed a new fabrication method for printing robotic devices with long filaments featuring precisely placed hollow channels. This allows the device to bend and deform in predetermined ways, enabling the creation of soft robots with predictable s...
Researchers at the University of Pennsylvania have developed HoloRadar, a system that enables robots to reconstruct hidden 3D spaces beyond their line of sight using radio waves processed by AI. This capability can improve safety and performance in driverless cars and cluttered indoor settings.
Researchers at UC3M develop a new methodology for autonomous arm movement using observational learning and intercommunication between limbs. The ADAM robot can perform daily tasks such as setting and clearing the table, ironing, or tidying up the kitchen with fluid efficiency and natural movement.
Researchers at Duke University have created a programmable Lego-like material that can change its stiffness and damping in response to temperature changes. The material, made from gallium and iron, can be programmed to mimic various commercially available soft materials.
The Data-driven Robotic Balance Assistant (DRBA) supports seniors with mobility issues, improving balance, daily activities, and reducing caregiver burden. Community trials successfully concluded at Lions Befrienders' Active Ageing Centres.
A team of researchers developed a multi-material, multi-module microrobot that can grab, carry and release microscopic objects. The microrobot features two parts: one reacts to pH changes to grip an object, while the other responds to magnetic fields for movement.
Developed by U-M and Penn, the robots can sense and respond to their surroundings, operate for months, and cost just a penny each. They have applications in monitoring cell health and aiding manufacturing.
Researchers at Penn and UMich created microscopic swimming machines that can independently sense and respond to their surroundings, operate for months, and cost just a penny each. The robots are powered by light and can be programmed to move in complex patterns, sense local temperatures, and adjust their paths accordingly.
A new robotic design uses vine-like structures to lift and grasp a variety of objects, including humans, with a gentler approach. The robot can snake around obstacles, squeeze through tight spaces, and even secure itself in a closed loop to create a sling.
A new model developed by Osaka Metropolitan University Assistant Professor Takuya Fujinaga enables robots to accurately pick tomatoes, with an 81% success rate. The system evaluates the ease of harvesting for each tomato, taking into account factors such as fruit clustering and stem geometry.
A breakthrough AI system called OmniPredict can predict human pedestrian behaviors with unprecedented accuracy, revolutionizing self-driving cars and urban mobility. The model combines visual cues with contextual information to anticipate pedestrians' next moves, reducing the risk of accidents and improving traffic safety.
Researchers at Stanford University have successfully used machine-learning-based control to operate a robot on the International Space Station, allowing for faster and more efficient navigation while maintaining safety. The system, which includes a warm start feature, enables robots like Astrobee to move through complex environments wi...
A team at the University of Maryland Baltimore County has extracted six fundamental units of motion called mudras from classical Indian dance to teach robots how to use their hands. The research could improve robot hand control and develop better tools for physical therapy.
The University of Leicester, in partnership with TWI Ltd, has secured £560k to develop a robot-mounted arc-welding system for in-space repair and manufacturing. The project aims to overcome the challenges of welding in space by developing a new, space-qualified robotic welding capability.
Researchers developed micro/nano-reconfigurable robots that harvest sunlight to capture CO2, promoting carbon metabolism control in confined spaces. The robots demonstrated a 54.61% increase in survival time in a sealed-mouse model, offering an energy-frugal solution for space exploration and emergency shelters.
MIT engineers developed artificial tendons made from hydrogel to connect lab-grown muscles with robotic skeletons. The tendons improved the robot's motion and force output by three times, enabling faster and more efficient biohybrid robots.
The University of Liverpool has announced an ambitious plan to establish the UK's flagship AI-driven materials discovery centre, AIM-HI. The centre will focus on areas such as catalysis, materials for net-zero, soft matter, and product formulation, driving innovation in sectors crucial to the UK economy.
Researchers develop system to test and optimise self-driving strategies for agricultural tractors in a virtual environment, creating realistic vineyard scenarios and evaluating control algorithms. The goal is to reduce human presence and improve agricultural automation solutions based on sensors and predictive algorithms.
A swarm of miniature magnetic soft robots, inspired by fish schools, can coordinate their movements to deliver targeted drug therapy to diseased tissue. The robots can navigate through narrow passages and adapt their shape to conform to the lesion's boundaries for optimal drug delivery coverage.
A survey of 4,890 participants found that people are open to using home-care robots as long as they view them beneficially. Collaboration between users and developers is crucial for adoption, with emphasis on ethical considerations. Robots may play a significant role in addressing Japan's aging population and social healthcare challenges.
Oxford researchers have developed soft robots that operate without electronics, motors, or computers, using only air pressure to generate complex, rhythmic movements. The robots can automatically synchronize their actions and perform tasks like sorting beads into containers without external control.
A novel multichamber magnetic capsule robot has been developed to selectively open specific chambers for targeted liquid sampling or drug release, revolutionizing digestive tract diagnosis and treatment. The robot's modular design allows for flexible adjustment of the number of chambers as demand requires.
A team of researchers has developed a tiny, spider-inspired robot that can navigate the digestive system with ease, delivering therapy precisely where it's needed. The soft robot overcomes challenges faced by traditional endoscopes, showcasing its adaptability in traversing complex environments.
Researchers develop novel dual-laser method to create adaptive, shape-locking devices. The material integrates a shape-memory polymer skeleton with magnetic microcapsules, allowing for 'writing' and 'bending' of instructions and shapes in situ.
Researchers at North Carolina State University created a class of robots called metabots that can change shape and adapt to different environments. The devices can execute various actions despite having no motor or being made of a single flat material.
A recent study reveals that the response to witnessing robot mistreatment depends on factors such as the robot's humanlike design and the observer's moral identity. Anthropomorphism influences empathy, encouraging customers to treat robots with dignity, while moral identity plays a crucial role in shaping behavioral contagion.
Researchers at Purdue University have developed fidget-controlled robots that utilize metastability to create soft robotic systems. These robots use bistable domes to perform tasks such as grasping and classifying objects, demonstrating the potential for physical systems to replace electronic components in challenging environments.
Researchers at CARS create detailed maps of chemical reactivity, discovering regions of unexpected outcomes and reconstructing intricate reaction networks. This new understanding enables control over the formation of different major products from a set of starting materials.
The International Telecommunication Union (ITU) has launched an initiative to bring artificial intelligence and robotics training to students across Africa. The programme combines hands-on AI and robotics training for young people in underserved communities, with a focus on reaching girls and other underrepresented groups.
Researchers have discovered that eels rely on signals from their bodies, like stretch and pressure, to adjust to different environments. These signals, combined with the nervous system's built-in rhythm, enable movement coordination even after a spinal cord injury.
Researchers created a new approach that integrates visual and tactile information to manipulate robotic arms, outperforming conventional vision-based methods. This breakthrough represents a significant advancement in multimodal physical AI.
Researchers at North Carolina State University unveiled Rainbow, a self-driving laboratory that autonomously discovers high-performance quantum dots. The system combines advanced robotics and AI to conduct up to 1,000 experiments per day, accelerating materials discovery.
A new Concordia study reimagines parcel delivery by integrating electric vehicles, autonomous delivery robots, and self-service lockers to prioritize high-value customers like Amazon Prime members. The innovative model cuts route and vehicle use costs by up to 53% compared to traditional methods.
A wearable robot has been upgraded to provide personalized assistance to ALS and stroke patients. The device uses machine learning and a physics-based model to adapt to an individual user's movements, offering more nuanced help with daily tasks.
HIT researchers created multi-material, multi-responsive, multi-shape shape memory polymer (SMP) gradient metamaterials with tunable properties. These smart materials can adapt to different tasks without extra tools or infrastructure, enabling applications such as secure information storage and soft robotic systems.
Researchers create a technique to model organic objects, creating photorealistic 3D images of complex shapes for autonomous sorting. This method improves robotic systems that sort microscopic marine fossils used in climate research.
Researchers investigated pipetting speed's effect on yeast growth and gene expression, finding it had little to no impact within a tested range. The study provides guidelines for increasing efficiency and reproducibility in robot-based experiments.
Researchers at NTU Singapore have developed an AI-powered robotic system to assemble cyborg insects for search and rescue efforts, significantly reducing preparation time and human error. The automated system can attach electronic backpacks to Madagascar hissing cockroaches in under 8 minutes, about 30 times quicker than manual methods.
MIT engineers developed a versatile demonstration interface that allows users to teach robots new skills in three intuitive ways: remote control, physical manipulation, or demonstration. This innovation expands the type of users and 'teachers' who interact with robots, enabling robots to learn a wider set of skills.
A robot trained on videos of surgeries performed a lengthy phase of a gallbladder removal without human help, responding to and learning from voice commands. The robot performed unflappably across trials with the expertise of a skilled human surgeon, even during unexpected scenarios.
Researchers developed a soft electroactive polymer eel-like robot that can explore underwater environments with minimal impact on wildlife and fragile structures. The robot uses dielectric elastomer material, enabling it to swim efficiently without causing harm to the environment.
New humanoid surgical robots offer a solution to the growing healthcare labor shortage, allowing for more efficient surgeries and reduced burnout among doctors. By taking on routine tasks, these robots can free up surgeons to focus on more complex procedures.
A fully autonomous robotic system developed by MIT researchers can measure important material properties like photoconductivity, increasing the speed and precision of research. The system uses machine learning and robotics to analyze new semiconductors and optimize the development of more powerful solar panels.
A new study published in the Journal of Experimental Psychology found that interacting with robots through social games makes them seem more human-like. The researchers used a box-shaped robot called Cozmo and found that participants who played games with it considered it more human-like, whereas those who interacted mechanically did not.
A new imaging technique developed by MIT researchers leverages reflections from wireless signals like Wi-Fi to create accurate 3D reconstructions of objects blocked from view. This approach achieved 96 percent reconstruction accuracy on everyday objects with complex shapes.
A Kobe University team developed a technique to classify thousands of enzymes, allowing for rapid evaluation and identification of highly active and versatile enzymes. The approach enabled the discovery of an enzyme with up to 10 times higher productivity than industry standards.
Researchers developed a new robot navigation system called LENS, which uses brain-inspired computing to set a low-energy benchmark for robotic place recognition. The system combines a spiking neural network with a special camera and low-power chip to enable fast and energy-efficient location tracking.
A Chinese research team developed a magnetic microrobot capable of manipulating small droplets in the presence of magnetic fields. The robot achieved speeds 20 times faster than previous models and could interact with highly corrosive compounds without damage.
Researchers at Harvard developed link-bots, centimeter-scale robots composed of V-shaped chains with notched links, capable of coordinated movements and emergent collective behavior. The team demonstrated link-bots' ability to move forward, stop, change direction, squeeze through gaps, and cooperate on tasks.
Researchers created dynamic metashells that leap into the air on a predetermined schedule without intervention, jumping up to nine times their height. The structures were engineered to store energy and release it at a controlled timing, with scheduled jumps possible from three seconds to 58 hours in advance.
Researchers created a soft robotics technology that can identify damage, pinpoint its location, and autonomously initiate self-repair. The system uses a multi-layer architecture featuring liquid metal microdroplets, thermoplastic elastomer, and electromigration to melt and seal damaged areas, effectively self-healing the wound.
Scientists have created the first soft robots that can walk out of the machines that make them using a new 3D printing system. The flexible devices were developed to overcome challenges in manufacturing and design, making them suitable for various industries like nuclear decommissioning and space exploration.