Articles tagged with Robotics
A WVU study found that ChatGPT-5 Pro can generate realistic psychiatry vignettes with strong diagnostic details but emphasizes the need for human-centered approach to ensure patient safety. The researchers recommend incorporating these vignettes into digital psychiatry curricula with faculty moderation and safeguards.
A team at Pusan National University created a stretchable organic electrochemical transistor that can be easily reprogrammed to perform different functions. The device combines logic, memory, and a visible color readout without complex circuitry.
A study by Drexel University found that people form a stronger bond with an expressive humanoid robot, but this trust can quickly dissipate when the robot makes errors. The researchers measured brain activity, hormones, and self-reported attitudes to understand how humans build and lose trust through collaboration with robots.
Researchers at Seoul National University have developed a novel approach using porous triply periodic minimal surface (TPMS) feet and deep reinforcement learning controller, which significantly reduces battery power consumption in quadruped robots. The solution reduces energy consumption by up to 6.2% while maintaining stable locomotion.
Researchers at Hebrew University of Jerusalem identify previously unknown law of geometry that explains why growing surfaces suddenly develop complex patterns. The discovery could reshape understanding of natural structures and guide design of shape-changing materials.
The review explores how integrating Federated Learning (FL), Reinforcement Learning (RL), and Natural Language Processing (NLP) can overcome modern NLP system limitations, such as protecting user privacy and adapting to changing environments. The study presents a unified framework that combines FL, RL, and NLP as three co-equal pillars.
Researchers at MIT developed a new technique called VLASH that allows robots to predict their future position, enabling smoother motions and quicker reactions. This breakthrough doubles the speed of robots performing tasks like pick-and-place and boosts performance in dynamic activities.
George Mason University Assistant Professor Xuan Wang will receive funding for his project on knowledge transfer in robot learning. He aims to develop efficient approaches that enable robots to reuse prior knowledge, supporting safer and more affordable robotic technologies in various industries.
Researchers have developed a novel hybrid control strategy for quasi-zero stiffness isolators, addressing payload variations and residual resonant peaks. The 'smart cushion' can adapt to changing loads in seconds, making it crucial for precision applications like chip manufacturing and robot handling of fragile goods.
The City University of New York has received an $18.1 million NSF award to create a cloud-programmable national laboratory that uses artificial intelligence and robotics to speed the discovery, design, and production of advanced bio-inspired materials. Researchers nationwide will have remote access to automated tools for developing sus...
Rice University has received a nearly $20 million NSF award to lead an AI-powered materials laboratory that aims to accelerate the manufacturing of electronic and quantum materials. The project, READINESS, will integrate automated synthesis equipment, robotic systems, and digital twins to minimize trial-and-error experimentation and en...
Researchers developed an AI that navigates ships using human-like decision-making, handling complex situations such as narrow channels and multiple vessels. The AI achieved compliance with maritime traffic rules and demonstrated unexpected behavior like local navigation customs.
A study found that people behave more curiously than cautiously around a service robot, noticing it more often and even grabbing multiple candies at once. However, some visitors felt slightly uncomfortable when the robot came close, highlighting the need for deeper user assessments.
A novel cross-modal fusion framework integrates low-altitude drone RSI with ground robot LiDAR-inertial measurement unit (IMU) odometry to create accurate digital models of orchards. The system achieved localization accuracy on the order of a few centimeters, demonstrating robustness to seasonal variations and long-term drift.
Developed by researchers at Harbin Institute of Technology, the T-800 data glove captures rapid hand movements up to 100 Hz, surpassing conventional systems. The system's synchronization mechanism and spatial calibration framework enable accurate reconstruction of full-hand gestures.
Northwestern University engineers created a drone called Phantom Twist that harnesses motion blur to blend into its surroundings. The drone spins up to 25 times per second, making it difficult for humans to see clearly, and can potentially monitor wildlife or inspect infrastructure with less disruption.
The European Law Institute has approved its first comprehensive framework for dealing with digital assets and personal digital content after death. The rules provide a dual legal framework recognizing the need for protection, privacy, and dignity in digital inheritance.
KAIST develops robot that can autonomously choose gait strategy for its surroundings, switching between walking, running, jumping, and other locomotion skills. The team generated 15.5 hours of training data using computer simulations alone, enabling the robot to move quickly and stably in real outdoor environments.
A team of surgeons used robot-assisted stereotactic surgery to treat a patient with multiple deep brain abscesses, achieving complete resolution and rapid neurological recovery. The minimally invasive strategy reduced surgical trauma and accelerated healing.
Microrobots are designed for highly localized biomedical tasks, including targeted drug delivery, minimally invasive diagnosis, and cell- or tissue-level therapeutic intervention. Magnetic actuation is identified as a promising approach due to its ability to penetrate biological tissues and integrate with medical imaging technologies.
Researchers at Penn State have developed paint-on tattoos that can power sensors and track health data like heart rate and brain waves. The innovative conductive ink can be customized with various colors and designs, providing a comfortable and accurate wearable solution.
The PRIME-6G project aims to bring next-generation 6G technologies into real industrial manufacturing environments. AURORA and SENTINEL use cases investigate deterministic 6G connectivity, AI-driven network management, and multi-sensor fusion for intelligent industrial systems.
A new robot designed by MIT engineers can swim underwater and fly through the air, mimicking the abilities of diving birds. The robot's wing flapping frequency and tail angle were adjusted to enable a smooth transition from swimming to flying.
A mechanical soft force sensor eliminates electronic components, allowing soft robots to sense and respond without power or signal processing. The sensor detects multi-axis forces and converts them directly into fluidic actuation.
Researchers from Universitat Oberta de Catalunya found that robot adoption increases productivity in Spanish SMEs, especially smaller firms with fewer workers and less innovation. However, introducing robots does not directly translate into increased international business activity, as regional specialization plays a key role.
Researchers at UC San Diego successfully performed two surgeries using teleoperated humanoid robots, called Surgie, which have real potential for amplifying access to critical surgeries. The compact robots can be deployed in remote areas and are easier to use than specialized robotic systems.
Researchers developed EleTac, a soft robotic gripper with high-resolution tactile sensing, to handle delicate objects. The gripper's innovative design enables it to adapt to various shapes and provide gentle forces, making it suitable for applications such as handling fruit, lab samples, and medical supplies.
The HKU Robocon teams, consisting of 55 students from engineering and science backgrounds, showcased exceptional talent and innovation in the competition. They adopted complementary tactical approaches, with Team Sapientia deploying an offensive strategy and Team Virtus focusing on a defensive approach.
The department has demonstrated outstanding clinical proficiency in robotic-assisted procedures and has been at the forefront of education and technical exchange. It plans to further expand training programs and integrate digital capabilities into clinical practice.
The iMETRO Dynamic Simulation is an open-source platform that enables researchers to develop and test robotic systems for future space missions. By leveraging a digital twin of the NASA iMETRO facility, scientists can remotely create and test new robotic software and validate its performance with various hardware configurations.
A new editorial highlights AI's role in scientific discovery, proposing a framework to evaluate AI-enabled scholarship. The authors emphasize the need for transparency, reproducibility, and real-world value in AI-driven research.
A new color-changing tactile sensor, developed by Queen Mary University of London, allows robots to map contact, strain, and pressure in high resolution. This technology has the potential to improve robotic grippers for precision manufacturing and prosthetic limbs for better sensing capabilities.
The U-Shift II project develops a vehicle that can transform into different types of vehicles, such as a shuttle or cargo van, using replaceable capsules. This concept enables flexible adaptation to various tasks, saving resources and promoting sustainable mobility.
Researchers have discovered that advanced brain interfacing technology used for both touch and vision prostheses is almost identical, despite being developed separately. This breakthrough could lead to faster restoration of lost senses, including sight and motor function, with a unified technology that benefits both patient groups.
University of Jaume I students Pau Montagut and Mario García won first place at the ICRA 2026 robotics conference with an AI model that taught a Toyota HSR robot to perform household tasks. The team's achievement is notable given their undergraduate status, competing against teams of research personnel.
A bio-inspired robotic bird is helping researchers unravel the mysteries behind kestrels' exceptional hovering capabilities. By mimicking key movements, the team discovered unique techniques that could improve manoeuvrability of small aircraft and enhance their ability to cope with turbulence.
Researchers developed a robotic system inspired by social insects to optimize mining operations. The honeybee-inspired approach outperformed others in tests, reducing travel distance by up to 80% and completing ore delivery tasks 60% faster.
Researchers developed a bidirectional interface that uses muscle vibrations to restore natural sensations of movement in upper limb prosthetics. The system restored coordinated hand grasp movement patterns, or 'synergies,' similar to those felt by participants with different kinesthetic feedback systems.
A new robot mimics the movement of an inchworm using a soft muscle-like material, allowing it to navigate challenging environments. The robot can be used to inspect sewer pipes or explore the planet Mars without multiple actuators.
MIT researchers developed a new system-on-a-chip called Gleanmer, which generates highly accurate 3D maps of the robot's environment using Gaussians to represent obstacles. This approach reduces memory and power consumption by up to 99%, making it suitable for lightweight augmented reality headsets.
A self-driving chemistry lab called Flex-Cat has been developed to autonomously search for faster and more selective ways to make important industrial chemicals. The platform combines robotics, high-pressure reactors, and artificial intelligence to identify high-performing catalysts and those that can be programmed to produce different...
Scientists created a shape-changing flying robot named Floaty that can fly efficiently while staying stable in the air. By adjusting its flaps to control air resistance, Floaty balances itself and recovers from disturbances.
A modular nanorobot with a magnetic propulsion module and payload capsule has been developed by researchers at the University of Basel. The system can be adapted to different applications and has shown promise in delivering therapeutic agents to cancer cells, reducing viability by 16% within 72 hours.
A KAIST research team led by Professor Jee-Hwan Ryu has received the IEEE Robotics and Automation Letters (RA-L) Best Paper Award for the second consecutive year. The award-winning paper presents a novel assistive dressing technology that enables garments to autonomously unfold and move along the user's body using soft robotic principles.
A team at the University of Basel has developed a modular nanorobot with propulsion and payload modules that can be used in medicine to deliver active substances to specific locations in the body. The technology also has potential applications in industry and environmental technology.
A novel rehabilitation system connects therapists and patients through robotic exoskeletons, enabling real-time adaptation and personalized care. Stroke survivors who used the system demonstrated improved joint range of motion, longer and higher steps, and high levels of motivation.
A new spatial memory system allows robots to rapidly form and recall detailed mental models of large-scale environments, enabling fast and accurate object recognition. This framework combines advanced map representations with rich descriptions of the environment, enabling robots to answer complex queries in plain language.
Researchers studied elephant trunks to understand properties and derive lessons for next-gen soft robotics. The study found functional zoned architecture allowing amplification of tactile signals while protecting fragile sensors.
A new underwater mapping technique, Sonar-MASt3R, combines sonar and visual data to generate detailed 3D maps of environments in real-time. The system enables vehicles to navigate through cloudy water by quickly mapping the general shape of their surroundings using sonar.
A robotic pet rabbit named Mía has been developed to recognize users by their voice, allowing for personalized affective stimulation in elderly care. The system uses a unique 'voice signature' that adapts to each user's speech patterns, enabling the robot to respond differently to various individuals.
A new soft gripper designed by WVU researcher Anand Mishra can accurately gauge the size, curvature, color, and ripeness of fruits like strawberries and avocados. The gripper's quick inspections and harvesting capabilities can reduce spoilage and lower supply chain costs.
Researchers found that humanoid robots like Pepper can make good playmates in cooperative modes with natural pace and order of play. However, competitive gameplay led to frustration due to robot's stiffness and overzealousness.
Researchers create programmable neuromorphic hardware platform that mimics biological neurons at extremely low temperatures. This technology enhances quantum error correction and real-time control, paving the way for complex data processing in space.
Researchers at Penn State developed photomemristors that adjust sensitivity based on light levels, like the human eye. These devices can process light data faster and more accurately than traditional systems in mixed lighting environments.
Researchers at Istituto Italiano di Tecnologia developed an octopus-inspired soft robotic arm with integrated tactile sensors, enabling autonomous grasp and manipulation in aquatic environments. The system combines distributed tactile sensing and decentralized control to detect contact and adapt grip autonomously.
Researchers found that robots trained on consistent demonstrations achieved higher success rates than those trained on complex data. Consistent approaches emphasized steady progress toward a goal and reused predefined motions to reduce variability.
Researchers propose embedding AI foundation models into control software to enable robot swarms to achieve new levels of autonomy and adaptability. This enables robots to switch between tasks in real-time and interact more naturally with humans.
Researchers at ETH Zurich developed biohybrid microrobots that combine living neural progenitor cells with magnetoelectric nanoparticles to guide stem cells to injury sites and stimulate repair. The microrobots demonstrate promising results in animal experiments, including improved nerve cell regeneration and recovery of motor function.
Researchers developed piezoelectric patch sensors that track finger movements to play rock-paper-scissors, promoting self-motivated healthcare and entertainment. The sensors provide quantifiable data and objective feedback, improving patient outcomes through accessibility, independence, and motivation.
Researchers developed a 'walking fish' robot that mimics modern fish's ability to walk on land, and computer models showed similar modes of locomotion across several unrelated species. This undulating tripod gait is one of life's most ancient solutions to escaping predators or moving habitats.