首页|University of Salerno Reports Findings in Robotics (A Dynamic Programming Framework for Optimal Planning of Redundant Robots Along Prescribed Paths With Kineto-dynamic Constraints)
University of Salerno Reports Findings in Robotics (A Dynamic Programming Framework for Optimal Planning of Redundant Robots Along Prescribed Paths With Kineto-dynamic Constraints)
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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 Salerno, Italy, by NewsRx journalists, research stated, “Offline optimal planning of trajectories forredundant robots along prescribed task space paths is usually broken down into two consecutive processes:first, the task space path is inverted to obtain a joint space path, then, the latter is parametrized with atime law. If the two processes are separated, they cannot optimize the same objective function, ultimatelyproviding sub-optimal results.”
SalernoItalyEuropeDynamic ProgrammingEmerging TechnologiesMachine LearningNano-robotRoboticsUniversity of Salerno
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