A fast trajectory planning framework with task-priority for space robot

Jianjun Luo, Min Yu, Mingming Wang, Jianping Yuan

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

This paper addresses trajectory planning issue for free-floating space robotic system which is designed to track a prescribed path simultaneously fulfilling imposed constraints such as collision avoidance and minimizing base attitude disturbance. Collision avoidance can be treated as inequality constraints as part of the trajectory planning. To generate smooth trajectory for robot motion, a novel local collision avoidance method considering multiple velocity damper constraints is proposed for non-strictly convex polyhedra. Moreover, we propose a task-priority handling strategy incorporated with a full-fledged Quadratic Programming(QP) procedure to solve the planning problem with sequential tasks. The proposed task-priority handling strategy enables a rapid adaptation of the space manipulators motion, which makes this strategy feasible for real-time planning. The trajectory planning framework with collision avoidance method and task-priority handling strategy were implemented and demonstrated via a kinematically redundant dual-arm space robotic system.

Original languageEnglish
Pages (from-to)823-835
Number of pages13
JournalActa Astronautica
Volume152
DOIs
StatePublished - Nov 2018

Keywords

  • Collision avoidance
  • Hildreth's QP procedure
  • Space robotic system
  • Task-priority handling strategy
  • Trajectory planning

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