首页|Findings from Shanghai Jiao Tong University Update Knowledge of Robotics (Error Constrained-formation Path-following Method With Disturbance Elimination for Multisnake Robots)
Findings from Shanghai Jiao Tong University Update Knowledge of Robotics (Error Constrained-formation Path-following Method With Disturbance Elimination for Multisnake Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Robotics. According to news reporting originatingfrom Shanghai, People’s Republ ic of China, by NewsRx correspondents, research stated, “This articlereports a novel path-following method based on error constraints to fulfill formation cont rol with theanti-disturbance for multisnake robots. A synchronized line-of-sigh t guidance rule and a high-coupleddynamic frequency compensator are designed to revise the movement speed of each robot, ensuring positionconsistency among fo rmation members.”Funders for this research include National Science Fund for Distinguished Young Scholars, NationalNatural Science Foundation of China (NSFC), Shanghai Municipa l Science and Technology Major Project,China Postdoctoral Science Foundation.Our news editors obtained a quote from the research from Shanghai Jiao Tong Univ ersity, “Theequivalent principle of the barrier function restricts the state er rors within a set range, eliminating thesingularity of virtual variables and en hancing the steady-state performance of path following. Moreover,this article p redicts the model uncertainty and external disturbances to precompensate for the joint offsetand torque input of the robot. The method further improves the con vergence rates and robustness ofthe following errors. Barrier Lyapunov theory p roves the uniform ultimate boundedness of the proposedmethod.”
ShanghaiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsShanghai Jiao Tong University
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