首页|Recent Findings from Beijing Institute of Technology Has Provided New Informatio n about Robotics (Perception-driven Learning of High-dynamic Jumping Motions for Single-legged Robots)

Recent Findings from Beijing Institute of Technology Has Provided New Informatio n about Robotics (Perception-driven Learning of High-dynamic Jumping Motions for Single-legged Robots)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Robotic s. According to news reporting originating from Beijing, People's Republic of Ch ina, by NewsRx correspondents, research stated, "Legged robots show great potent ial for high-dynamic motions in continuous interaction with the physical environ ment, yet achieving animal-like agility remains significant challenges. Legged a nimals usually predict and plan their next locomotion by combining high-dimensio nal information from proprioception and exteroception, and adjust the stiffness of the body's skeletal muscle system to adapt to the current environment." Financial supporters for this research include The National Key Research Program of China, National Key Research Program of China. Our news editors obtained a quote from the research from the Beijing Institute o f Technology, "Traditional control methods have limitations in handling high-dim ensional state information or complex robot motion that are difficult to plan ma nually, and Deep Reinforcement Learning (DRL) algorithms provide new solutions t o robot motioncontrol problems. Inspired by biomimetics theory, we propose a per ceptiondriven high-dynamic jump adaptive learning algorithm by combining DRL al gorithms with Virtual Model Control (VMC) method. The robot will be fully traine d in simulation to explore its motion potential by learning the factors related to continuous jumping while knowing its real-time jumping height. The policy tra ined in simulation is successfully deployed on the bio-inspired single-legged ro bot testing platform without further adjustments."

BeijingPeople's Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRobotRoboticsBeijing Institute of Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.25)