首页|Reports from National University Advance Knowledge in Robotics (Lstm Network In Bilateral Teleoperation of a Skid-steering Robot)
Reports from National University Advance Knowledge in Robotics (Lstm Network In Bilateral Teleoperation of a Skid-steering Robot)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news reporting from San Juan, Argentina, by NewsRx journa lists, research stated, “The paper analyses a control scheme aided by LSTM netwo rks for the delayed bilateral teleoperation system of a skid-steering wheeled mo bile robot. The strategy implemented at the local and remote sites combines a vi rtual force based on nonlinear impedance, nonlinear Proportional-Integral (PI) g ains, spring-damper, and robust neural dynamics compensation, including a gradie nt-based adjustment law or critic-actor RL trained offline using the ADAM algori thm.” Funders for this research include Instituto de Automatica (INAUT)-Universidad Na cional de San Juan, Consejo Nacional de Investigaciones Cientificas y Tecnicas ( CONICET), Deutscher Akademischer Austausch Dienst (DAAD), CONACYT-Fondo Sectoria l de Investigacion para la Educacion.
San JuanArgentinaEmerging Technologi esMachine LearningRobotRoboticsNational University
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