首页|New Robotics Findings from Northeastern University Outlined (Multi-objective Opt imal Trajectory Planning for Robot Manipulator Attention To End-effector Path Li mitation)
New Robotics Findings from Northeastern University Outlined (Multi-objective Opt imal Trajectory Planning for Robot Manipulator Attention To End-effector Path Li mitation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating in Shenyang, People’s Republic of Chi na, by NewsRx journalists, research stated, “In the process of trajectory optimi zation for robot manipulator, the path that is generated may deviate from the in tended path because of the adjustment of trajectory parameters, if there is limi tation of end-effector path in Cartesian space for specific tasks, this phenomen on is dangerous. This paper proposes a methodology that is based on the Pareto f ront to address this issue, and the methodology takes into account both the mult i-objective optimization of robotic arm and the quality of end-effector path.”
ShenyangPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsNortheastern Unive rsity
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