Multi-goal trajectory planning for redundant space robot

Suping Zhao, Zhanxia Zhu, Bruno Siciliano, Alejandro Gutiérrez-Giles, Jing Lang Feng, Jianjun Luo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The multi-goal trajectory planning problem (MTPP) for redundant space robots is studied in the paper. The robot's end-effector should go through several waypoints with minimum distance, while the sequence of the waypoints is not predefined. The problem is converted into a bilevel optimization problem. The aim of the first level is to search for an optimal path that passes through the predefined waypoints. Based on the optimal path got in the first level, the aim of the second level is to search for the appropriate joint movements. A two-layer-based heuristic algorithm is employed to solve the bilevel optimization problem.

Original languageEnglish
Title of host publicationSpaceflight Mechanics 2017
EditorsJon A. Sims, Frederick A. Leve, Jay W. McMahon, Yanping Guo
PublisherUnivelt Inc.
Pages1503-1514
Number of pages12
ISBN (Print)9780877036371
StatePublished - 2017
Event27th AAS/AIAA Space Flight Mechanics Meeting, 2017 - San Antonio, United States
Duration: 5 Feb 20179 Feb 2017

Publication series

NameAdvances in the Astronautical Sciences
Volume160
ISSN (Print)0065-3438

Conference

Conference27th AAS/AIAA Space Flight Mechanics Meeting, 2017
Country/TerritoryUnited States
CitySan Antonio
Period5/02/179/02/17

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