首页|Investigators from Shanghai Jiao Tong University Have Reported New Data on Andro ids (Variable Admittance Control Using Velocity-curvature Patterns To Enhance Ph ysical Human-robot Interaction)
Investigators from Shanghai Jiao Tong University Have Reported New Data on Andro ids (Variable Admittance Control Using Velocity-curvature Patterns To Enhance Ph ysical Human-robot Interaction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics - An droids have been published. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “This letter introduc es a variable admittance control approach aimed at enhancing intuitive human-rob ot interaction by considering both direct and indirect human intentions. The mag nitude of force serves as a representation of direct intentions, delineating pre ferences for rapid or precise motions.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from Shanghai Jiao To ng University, “Drawing from the movement sciences and motor control field, the minimum-jerk model is employed to mirror human motor system control policies and movement behaviors. From this model, velocity-curvature patterns are derived, e nabling an intuitive estimation of indirect intentions indicating long-term obje ctives like trajectory and turning direction. We propose an innovative guidance method, rooted in the estimation of indirect human intentions, enabling the robo t to concurrently follow and guide the operator. To assess the efficacy of this approach, both offline simulations and real-time human experiments are conducted on a six-DOF robot and a force/torque sensor.”
ShanghaiPeople’s Republic of ChinaAs iaAndroidsEmerging TechnologiesHuman-Robot InteractionMachine LearningRobotRoboticsShanghai Jiao Tong University
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