New Robotics Research from Southeast University Outlined (Research on exoskeleto n compliance control strategy based on dual interaction torque split phase contr ol method)
New Robotics Research from Southeast University Outlined (Research on exoskeleto n compliance control strategy based on dual interaction torque split phase contr ol method)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ro botics. According to news reporting out of Jiangsu, People's Republic of China, by NewsRx editors, research stated, "Human gait pattern recognition and complian ce control are key technologies for achieving high coordination and assistance b etween exoskeleton robots and human movements." Our news reporters obtained a quote from the research from Southeast University: "In order to improve the adaptability of exoskeleton robots to the human body, this paper proposes an exoskeleton compliance control strategy based on dual int eraction torque phase separation control method. A support phase swing phase spl it control strategy based on dual interaction torque is proposed. Utilize the in teraction force of human joints and adopt a model-based method to control the su pport phase. By utilizing the interaction force of exoskeleton joints and using a torque closed-loop method to control the swing phase, a multi-state control me thod of motion is achieved. A lower limb exoskeleton knee joint testing platform is built to verify the proposed human gait recognition The effectiveness of hum an-machine interaction force identification and human-machine coupling system co mpliance control technology."
Key words
Southeast University/Jiangsu/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Ro botics
NETL
NSTL