Articles tagged with Robot Kinematics
Researchers at Saarland University are developing smart implants that can continuously monitor and visualize the healing process of fractures. These customized implants can dynamically adapt to the healing process by becoming stiffer or more compliant as required, promoting bone regeneration through micromechanical stimulation.
Researchers develop Kinematic Intelligence framework to transfer skills between robots with different mechanical structures, enabling safe and predictable behavior. The approach reduces time and expertise needed to deploy robots in real-world settings.
Soft robots could work as medical implants, deliver drugs inside the body, and explore dangerous environments. The researchers designed a reconfigurable robot that can move repeatedly without degradation, using targeted heating to control motion and embedded temperature sensors for closed-loop control.
A hierarchical 3D LiDAR localization method improves robot positioning in large outdoor spaces even after seasonal changes. The method integrates deep learning techniques to extract discriminative local features from 3D point clouds, making it robust to environmental variability.
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.
Researchers at Harvard University have developed a new design method for optimizing rolling contact joints in robots, which can lead to better grippers, assistive devices, and more efficient robotic movement. The optimized joints performed spectacularly, correcting misalignment by 99% in knee-assist devices.
A team of researchers at EPFL developed a robotic hand that can detach from its arm and 'crawl' to grasp multiple objects, overcoming human asymmetry and limitations. The device can perform 'loco manipulation' with seamless autonomy and has potential applications in industrial, service, and exploratory robotics.
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 team of engineers at Harvard John A. Paulson School of Engineering and Applied Sciences designed a proof-of-concept walking robot using only four moving parts connected by rubber bands and powered by one motor. The robot can find its way through mazes, avoid obstacles, and sort objects by mass without electronic control systems.
Scientists create programmable lattice structure with infinite geometric variations, enabling the fabrication of lightweight, adaptable robots inspired by biological tissues. The technology offers scalable solutions for designing unprecedentedly flexible and rigid robots.
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.
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.
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.
The Harvard robot uses latch-mediated spring actuation to jump high and cover long distances relative to its size. It combines walking and jumping modes for effective navigation in natural environments.
The Human AugmentatioN via Dexterity (HAND) center aims to develop robots capable of enhancing human labor through engineered systems of dexterous robotic hands, AI-powered fine motor skills, and human interface. The center's goal is to make robotic assistance accessible and applicable to a wide range of physical actions.
Researchers have developed a tiny, squishable robot called CLARI that can change its shape to pass through narrow gaps. The robot's modular design allows it to be customized and expanded with additional legs, enabling potential applications in search and rescue operations after major disasters.
Hang aims to develop general-purpose robots that can handle complex physical interactions without requiring perfect input from sensors or extensive instructions. His project seeks to improve robotic manipulation tasks by reducing assumptions about how the robot acts in real-world conditions.
A team of researchers at Harvard University has developed a compact, soft pump that can power soft robots in various applications. The pump uses dielectric elastomer actuators and can control pressure, flow rate, and flow direction, making it suitable for biomedical settings.
The caterpillar-bot uses a novel pattern of silver nanowires to control its movement, with the ability to steer in both directions and navigate through tight spaces. The robot's movement is driven by heating and cooling cycles that allow it to 'relax' before contracting again.
Researchers at Carnegie Mellon University have developed a latch control system that enables grasshopping robots to perform efficiently on soft substrates. The team discovered that the latch can not only regulate energy output but also mediate energy transfer between the robot and its environment, leading to improved jump performance.
Researchers have developed insect-sized jumping robots capable of navigating tight spaces, with a new study demonstrating two configurations that can successfully jump without manual intervention. The robots use a dynamic buckling cascade process to store and release elastic energy, allowing them to propel themselves upward.
A four-legged robot trained through artificial intelligence has mastered jumping to navigate the Moon's rugged terrain. The robot can collect samples and deploy scientific instruments, overcoming limitations of traditional rovers in loose soil and steep slopes.
Scientists have discovered that geckos use their tails to recover from head-first crashes into rainforest trees, with implications for the design of agile robots. This versatile behavior allows geckos to stabilize themselves after impact and maintain control during gliding maneuvers.