Articles tagged with Robotics
Researchers at MIT developed a machine learning-based adaptive control algorithm that enables autonomous drones to adapt to unknown disturbances like gusting winds. The system achieves 50% less trajectory tracking error than baseline methods in simulations.
Researchers at the University of Texas at Austin discovered a novel way to accelerate brain-computer interface (BCI) learning: gentle electrical nudge to the spine. This stimulation helps focus the brain on the task, significantly speeding up the learning curve.
Scientists created a low-cost, durable, highly-sensitive robotic 'skin' that can detect various types of touch and pressure. The technology senses multiple physical inputs simultaneously, allowing robots to interact with their environment in a more human-like way.
Rice University students have developed a cutting-edge wearable haptic wristband that can deliver two distinct forms of tactile feedback. The device aims to make virtual reality more immersive and accessible, and is entirely self-contained with a modular design that makes it easy to repair and integrate into different environments.
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.
The Rice University team created a soft robotic arm capable of performing complex tasks using smart materials, machine learning, and an optical control system. The arm is guided and powered remotely by laser beams without any onboard electronics or wiring.
The research team developed a novel auditory technology that allows sound-based interaction between humans and robots, even in noisy environments. The technology facilitates sound-based recognition of human positions using only a single microphone.
Researchers at KAIST developed a quadrupedal navigation system that enables the robot to reach its target destination quickly and safely in complex terrain. Inspired by cat's paw placement, they significantly reduced computational complexity.
Professor Shalom Lappin argues that tech companies' dominance in AI development poses a threat to public benefit and environment. He calls for comprehensive international regulation, intellectual property reform, and preparation for workforce disruption to address these challenges.
Researchers developed an algorithm that lets a robot think ahead and consider thousands of potential motion plans simultaneously, solving multistep manipulation problems in a matter of seconds. The new method enables robots to rapidly determine how to manipulate and pack items without damaging them, even in narrow spaces.
Researchers at Stanford University developed a new technique called the milli-spinner thrombectomy that significantly improves success rates in treating strokes and other clot-related diseases. The milli-spinner can reduce clots to as little as 5% of their original volume, making it a promising tool for improving patient outcomes.
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.
Researchers developed VR Co-Lab to ease confusion while training employees digitally for disassembling recyclables without damaging materials. The program provides feedback on task completion time and mistake rates.
Aerial robots are limited to manipulating rigid objects, but Lehigh University researcher David Saldaña aims to expand their capabilities with an adaptive controller and reinforcement learning. His research has potential applications in construction, disaster response, and industrial automation.
A multidisciplinary team will utilize cutting-edge imaging technology and underwater robotics to discover and describe exotic marine species in the deep ocean. The project aims to transform how scientists understand the ocean's vast midwater region.
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.
The F3T sensor accurately decouples temperature, normal force, and all-directional tangent force. It outperforms traditional sensors in static and dynamic tests, enabling robots to adaptively respond to external disturbances.
Antonio Bicchi has been selected for the 2025 Pioneer in Robotics and Automation Award for his groundbreaking contributions to robotics and prosthetics. He is recognized for developing innovative robotic limbs that match human hand capabilities, as well as natural prosthetic limbs.
The Stuttgart Cluster of Excellence IntCDC will continue to develop innovative construction methods that reduce resource consumption and CO2 emissions through computational design and engineering methods. The cluster aims to evolve its Co-Design approach into a Co-Agency approach, focusing on bio-based building materials, AI technologi...
Triboelectric and piezoelectric nanogenerators convert mechanical energy into electrical energy, enhancing robotic autonomy and efficiency. The technology has the potential to reshape future robotic capabilities, particularly in industrial automation, healthcare, and smart home applications.
Researchers found that artificial intelligence tools can accurately predict disease for patients with typical symptoms but struggle with those exhibiting atypical symptoms. Human oversight is necessary for high-quality patient-centered care when using AI as an assistive tool.
A new simulation method enables researchers to test social robots without human participants, making research faster and more scalable. The study introduces a dynamic scanpath prediction model that helps humanoid robots predict where people would look in a social setting, mimicking human-like eye movements.
The ETH Zurich researchers have developed SonoTextiles, a novel technology that uses acoustic waves to measure touch, pressure, and movement in fabrics. This allows for accurate health monitoring, such as tracking breathing patterns, with minimal power consumption and high precision.
Researchers developed a spherical prototype with adjustable surface dimples to cut through pressure drag and generate lift, reducing drag by 50% compared to smooth counterparts. The adaptive skin setup can adjust dimple depth to maintain drag reductions and generate controlled movement.
The University of Texas at Arlington's (UTA) Texas Manufacturing Assistance Center (TMAC) has developed a real-time sensor data system to track environmental impact. The program helps Texas manufacturers reduce pollution, lower emissions, and save costs by identifying energy waste, water consumption, and air leaks.
Researchers developed novel haptic devices to enable precise robot control with tactile feedback, reducing collisions and improving user proficiency. The devices integrate digital twin technology and augmented reality for enhanced immersion.
Researchers at Duke University have developed a new framework called HUMAC that enables robots to collaborate like humans by teaching them Theory of Mind. After just 40 minutes of guidance, robot teams exhibited strong collaborative behaviors and achieved high success rates in simulations and physical tests.
The Purdue team developed Purdubik’s Cube, a high-speed robotic system that solves a Rubik’s Cube in record-breaking 0.103 seconds. The team leveraged machine vision, custom solving algorithms, and industrial-grade motion control hardware to achieve this feat.
UCF students created an AI system, AIMS, to track surgical staples during robotic surgeries, reducing waste and improving sustainability. The technology was developed as part of the college's Senior Design capstone course and has been successfully tested in operating rooms at Orlando Health.
Developers of educational tools focus on technical challenges, while educators are concerned with broader impacts, such as inhibiting critical thinking skills and exacerbating systemic inequality. Researchers recommend designer-centered approach to facilitate development of educator-centered edtech.
Researchers created a new type of insect cyborg that can navigate autonomously using UV light to guide movement, preserving sensory organs and maintaining consistent control. The system outperformed traditional methods in tests, with 94% of cyborg insects escaping a maze-like environment compared to just 24% of normal cockroaches.
SWORD accelerates robotics development by reducing manual coding required for complex applications, integrating CAD with open-source ROS tools to streamline automation. The software models, plans, and executes automation in a user-friendly environment.
A new robot designed to physically support the elderly and prevent falls as they move around their homes. The Elderly Bodily Assistance Robot (E-BAR) has a set of robotic handlebars that can be used for support, with airbags that inflate instantly to catch users if they fall.
Generative AI agents powered by large language models meet three conditions of free will: goal-directed agency, genuine choices, and control over actions. Experts warn that as AI gains more power and freedom, moral responsibility may shift from developers to the AI agents themselves.
Researchers developed a technique that enables robots to learn about an object's weight, softness, or contents by picking it up and gently shaking it. This method uses internal sensors and simulation processes to rapidly identify characteristics of the object, making it suitable for applications where cameras might be less effective.
A research team from AMOLF created a soft robot that moves with surprising coordination and autonomy, thanks to the principle of physical synchronization. The robot's soft tubes oscillate to create rhythmic locomotion gaits, adapting to obstacles and environments without central control.
A study by Aalto University researchers found that people's perception of AI creativity increases with the amount of process and producer information revealed. This discovery has implications for designing creative AI systems, as well as understanding human biases towards creativity in others.
A team of Brown University researchers has developed an artificial intelligence model called MotionGlot that can generate movement in robots and animated figures. The model enables users to type an action and generates accurate representations of that motion, translating across different robot and figure types.
Researchers at MIT created a table tennis bot that can return shots with high-speed precision, achieving a hit rate of 88% in tests. The technology could be adapted to improve the speed and responsiveness of humanoid robots for search-and-rescue operations.
Researchers developed an intelligent autonomous robot capable of automating hospital disinfection processes through dual disinfection system, increasing efficiency and precision. The robot's performance was validated through real-world testing, reducing the risk of infection in hospitals.
The observation pyramid uses different robot platforms to survey ocean areas, enabling flexible task management. Autonomous robotic organizations will reduce costs, improve mission efficiency and increase system robustness.
Researchers found that service robots with male characteristics can be more persuasive when interacting with women who have a low sense of power. Conversely, cute features in robot design can reduce the effect of portrayed gender on persuasiveness, making them effective for both male and female customers.
A new method to measure touch reception has been developed, allowing robots to accurately sense object curves and edges. By addressing the insulation layer issue in robotic skins, the researchers provided a clear step-by-step guide for trouble-shooting.
Engineers at Princeton University and Georgia Institute of Technology have created a method to reinforce structures without creating new weaknesses. The approach uses microstructures designed to protect against multiple loads, allowing designers to counter various stresses simultaneously.
A Sutter Health study found that an ambient AI platform reduced clinical documentation time and improved clinician satisfaction. The technology also enhanced patient care experiences, with clinicians spending more time listening to patients during appointments.
Researchers developed a novel vote-based model for accurate hand-held object pose estimation, addressing issues with existing approaches. The new framework achieves significant improvements in accuracy and robustness, enabling robots to handle complex objects and advancing AR technologies.
Kavraki's interdisciplinary research in robotics and biomedicine has been recognized for its impact on manufacturing, space exploration, and medicine. Her work bridges theory and application, with contributions to novel robot motion planning, personalized cancer treatments, and drug discovery.
A soft robot can carry loads through the air along established tracks, navigating angles of up to 80 degrees and carrying loads up to 12 times its weight. The robot uses infrared light to move along the track, repeating a rolling motion that pulls it forward.
A new robotic system uses cues in a scene to determine a human's objective and quickly identify relevant objects, enabling intuitive assistance in household, workplace, and warehouse settings. The approach achieved 90% accuracy in predicting human objectives and 96% accuracy in identifying relevant objects.
Researchers at Princeton University developed a 'metabot' material that can expand, assume new shapes, move, and respond to electromagnetic commands. The metamaterial's complex behavior is enabled by chirality, allowing it to defy typical physical object rules.
Researchers developed a method to fabricate functional flat-to-shape objects using a computer-controlled sewing machine. The technique allows for the creation of large, portable, and adaptable objects with varying levels of customization, including seating, wearables, and lamps.
The Harvard RoboBee has been equipped with crane fly-inspired legs and an updated controller, allowing it to land safely on various surfaces. The robot's delicate actuators were protected by the improved design, which enabled controlled landing tests on a leaf and rigid surfaces.
Researchers from Waseda University used machine learning to enhance the performance of photomechanical crystals, achieving up to 3.7 times greater force output compared to previously reported values. This breakthrough has significant implications for remote-controlled actuators, medical devices, and energy-efficient systems.
Researchers created a hopping robot that can traverse challenging terrains, carry heavy payloads, and uses less energy than aerial robots. The robot's springy leg and flapping-wing modules enable it to jump over obstacles and adjust its orientation mid-air.
The new robotic gripper, called GRIP-tape, uses a combination of softness and stiffness to grasp fragile fruits and vegetables with precision. With its ability to navigate obstacles and deposit objects into containers, the gripper has shown promising results in lifting large fruits like lemons.
The FLUID robot, developed by Hokkaido University researchers, automates the co-precipitation of cobalt and nickel to create binary materials with precision. The open-source system uses a 3D printer and off-the-shelf electronics, making it customizable and cost-effective for researchers worldwide.
The robot can switch between physical space and cyberspace modes using bioelectrical signals and gaze information, managing arm hand systems and IoT devices with high success rate. This technology aims to reduce nursing care costs and medical expenses by enhancing independence.
Text2Robot leverages generative AI to convert user text descriptions into functional robots. The system generates manufacturable robot designs that resemble the specific request within minutes, making it accessible to anyone with a computer and 3D printer.
A team of researchers discovered that a robotic hand can learn to grasp and rotate objects even with incomplete or absent tactile sensation. The study highlights the importance of the sequence of learning experiences, also known as the curriculum, in facilitating learning.