首页|Investigators at Chang'an University Report Findings in Robotics (Dynamic Compli ance of Energy-saving Legged Elastic Parallel Joints for Quadruped Robots: Desig n and Realization)

Investigators at Chang'an University Report Findings in Robotics (Dynamic Compli ance of Energy-saving Legged Elastic Parallel Joints for Quadruped Robots: Desig n and Realization)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news reporting originating from Xi'an, People's Re public of China, by NewsRx correspondents, research stated, "Achieving dynamic c ompliance for energy-efficient legged robot motion is a longstanding challenge. Although recent predictive control methods based on single-rigid-body models can generate dynamic motion, they all assume infinite energy, making them unsuitabl e for prolonged robot operation." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), State Key Laboratory of Robotics and Systems, Harbin Institu te of Technology, China, Fundamental Research Funds for Central Universities, Ch ina. Our news editors obtained a quote from the research from Chang'an University, "A ddressing this issue necessitates a mechanical structure with energy storage and a dynamic control strategy that incorporates feedback to ensure stability. This work draws inspiration from the efficiency of bio-inspired muscle-tendon networ ks and proposes a controllable torsion spring leg structure. The design integrat es a spring-loaded inverted pendulum model and adopts feedback delays and yield springs to enhance the delay effects. A leg control model that incorporates moto r loads is developed to validate the response and dynamic performance of a leg w ith elastic joints. This model provides torque to the knee joint, effectively re ducing the robot's energy consumption through active or passive control strategi es."

Xi'anPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsChang'an University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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年,卷(期):2024.(Jun.25)