首页|Researchers’ Work from Sun Yat-sen University Focuses on Robotics (A Quadratic P rogramming Solution To Position-level Repetitive Motion Planning and Obstacle Av oidance of Joint-constrained Robots)
Researchers’ Work from Sun Yat-sen University Focuses on Robotics (A Quadratic P rogramming Solution To Position-level Repetitive Motion Planning and Obstacle Av oidance of Joint-constrained Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingfrom Guangzhou, People’s Republic o f China, by NewsRx journalists, research stated, “Repetitive motionplanning (RM P), obstacle avoidance (OA), and joint-limit avoidance (JLA) are essential for e nsuringthe positioning accuracy and safe operations of joint-constrained redund ant robots during cyclical tasks.This article first establishes a position-leve l RMPOA- JLA scheme, which is eventually reformulated as ageneral quadratic pro gramming (QP) problem involving nonlinear constraints.”
GuangzhouPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningNano-robotRoboticsSun Yat-sen University
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