In a study published in special issue of the journal IET Cyber-Systems and Robotics, researchers from Zhejiang University experienced in legged robot motion and control, pre-trained the neural network (NN) using data from a robot operated by conventional model-based controllers.
Achieving human-level dexterity during manipulation and grasping has been a long-standing goal in robotics. To accomplish this, having a reliable sense of tactile information and force is essential for robots. A recent study, published in IEEE Robotics and Automation Letters, describes the L3 F-TOUCH sensor that enhances the force sensing capabilities of classic tactile sensors. The sensor is lightweight, low-cost, and wireless, making it an affordable option for retrofitting existing robot hands and graspers.
Researchers from MIT and Stanford University have devised a new machine-learning approach that could be used to control a robot, such as a drone or autonomous vehicle, more effectively and efficiently in dynamic environments where conditions can change rapidly.
Geckos' unique ability to climb across anything from a dry desert floor to a cold mountain top without leaving any sticky residue behind is the inspiration for many wall crawling robots, but for the first time researchers at Carnegie Mellon University have introduced it to water.
With the fierce debate broiling over the promise versus perceived dangers of Artificial Intelligence (AI) and autonomous robots, Nicole Moore of the University of Alabama in Huntsville (UAH) has had a study published that is especially timely.
Inspired by the effortless way humans handle objects without seeing them, a team led by engineers at the University of California San Diego has developed a new approach that enables a robotic hand to rotate objects solely through touch, without relying on vision.
In recent decades, roboticists have been developing increasingly sophisticated robots inspired by nature and living organisms. By realistically emulating biological processes and animal behaviors, these robots can often navigate different environments and tackle real-world problems in highly effective ways.
What happens to the body when a human gets heatstroke? How can we protect ourselves in a warming planet? To answer these burning questions, Arizona researchers have deployed a robot that can breathe, shiver and sweat.
A back support exoskeleton has been developed at the Istituto Italiano di Tecnologia (Italian Institute of Technology—IIT) to improve railway workers' safety and conditions for heavy manual material handling during maintenance and renewal operations.
Ireland's Robot Soccer team, RoboÉireann from Maynooth University, are Challenge Shield winners in the RoboCup 2023 Standard Platform League, an international robotics competition held in Bordeaux, France.
A new USC study finds that by sharing knowledge with each other at the same time, AI agents can quickly learn a wider range of tasks, with applications in medicine and beyond.
A research group in Carnegie Mellon University's Robotics Institute is creating the next generation of explorers—robots.
A team of social scientists, neurologists and psychiatrists at the University of Southern California's Brain and Creativity Institute, working with colleagues from the Institute for Advanced Consciousness Studies, the University of Central Florida and the David Geffen School of Medicine at UCLA have published a Viewpoint piece in the journal Science Robotics outlining a new approach to giving robots empathy. In their paper, they suggest that traditional approaches may not work.
Robotic fabrics that can shrink, grow in size and move with precision are becoming a reality, thanks to new research from scientists at the University of Sheffield.
This robot can swim under the sand and dig itself out too, thanks to two front limbs that mimic the oversized flippers of turtle hatchlings.