首页|Research Conducted at Hunan University Has Provided New Information about Roboti cs (Safe Obstacle Avoidance Planning-control Scheme for Multiconstrained Mobile Manipulators)
Research Conducted at Hunan University Has Provided New Information about Roboti cs (Safe Obstacle Avoidance Planning-control Scheme for Multiconstrained Mobile Manipulators)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news reporting originating in Changsha, People's Re public of China, by NewsRx journalists, research stated, "To achieve high precis ion and safety in the operation of a wheeled mobile manipulator, it is imperativ e that the robot possesses the capability for high-precision tracking while adhe ring to multiple physical constraints and avoiding obstacles. This article intro duces a novel approach that combines model predictive control (MPC) with prescri bed performance function (PPF) to address these chAllenges." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news reporters obtained a quote from the research from Hunan University, "At the kinematic level, we leverage MPC's predictive capabilities to optimize the robot's motion for a better reference velocity while taking into account the pre established velocity tracking error bounds defined by PPF. On the dynamics level , the control law is designed based on PPF, ensuring precise tracking of the ref erence velocity and desired end-effector trajectory."
ChangshaPeople's Republic of ChinaAs iaEmerging TechnologiesMachine LearningRobotRoboticsHunan University
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