Design and Validation of New Acceleration-Level Repetitive Motion Planning Scheme for Omnidirectional Mobile Robotic Manipulators

Achieving repetitive motion planning (RMP) is essential in the study of mobile robot manipulators. This article presents an acceleration-level RMP (ALRMP) scheme for omnidirectional mobile robotic manipulators (OMRMs). Specifically, a new acceleration-level performance index is designed to realize R...

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Veröffentlicht in:	IEEE internet of things journal Jg. 12; H. 15; S. 30662 - 30675
Hauptverfasser:	Cang, Naimeng, Guo, Dongsheng, Qiu, Feng, Chen, Xianjun, Zhang, Weidong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.08.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acceleration Acceleration-level gradient-dynamics and neurodynamics Manipulators Mobile robots Motion planning Neural networks omnidirectional mobile robotic manipulators (OMRMs) Optimization Performance analysis Performance indices Planning quadratic program (QP) Quadratic programming Reinforcement learning repetitive motion planning (RMP) Robot arms Robot sensing systems Vectors Wheels
ISSN:	2327-4662, 2327-4662
Online-Zugang:	Volltext
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