首页|Zhengzhou University Reports Findings in Robotics (Event-triggered adaptive neur al prescribed performance admittance control for constrained robotic systems wit hout velocity measurements)
Zhengzhou University Reports Findings in Robotics (Event-triggered adaptive neur al prescribed performance admittance control for constrained robotic systems wit hout velocity measurements)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news originatingfrom Zhengzhou, People’s Republic o f China, by NewsRx correspondents, research stated, “In this paper,an event-tri ggered adaptive neural prescribed performance admittance control (ETANPPAC) sche me isproposed to control the constrained robotic systems without velocity senso rs. To ensure compliance duringhuman-robot interaction, the reference trajector y is obtained by reshaping the desired trajectory for therobotic systems based on the admittance relationship, where a saturation function is used to constrain thereference trajectory, avoiding excessive contact forces that could render t he trajectory inexecutable.”
ZhengzhouPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningRoboticsRobots
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