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Path-Planning for Autonomous Training on Robot Manipulators in Space

Froduald Kabanza, Roger Nkambou, Khaled Belghith
IJCAI 2005 pp. 1729-1731
/ijcai/2005/kabanza2005ijcai-path/

Abstract

This paper describes the integration of robot path-planning and spatial task modeling into a software system that teaches the operation of a robot manipulator deployed on International Space Station (ISS). The system addresses the complexity of the manipulator, the limited direct view of the ISS exterior and the unpredictability of lighting conditions in the workspace. Robot path planning is used not for controlling the manipulator, but for automatically checking errors of a student learning to operate the manipulator and for automatically producing illustrations of good and bad motions in training. 1

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Text

Kabanza et al. "Path-Planning for Autonomous Training on Robot Manipulators in Space." International Joint Conference on Artificial Intelligence, 2005.

Markdown

[Kabanza et al. "Path-Planning for Autonomous Training on Robot Manipulators in Space." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/kabanza2005ijcai-path/)

BibTeX

@inproceedings{kabanza2005ijcai-path,
  title     = {{Path-Planning for Autonomous Training on Robot Manipulators in Space}},
  author    = {Kabanza, Froduald and Nkambou, Roger and Belghith, Khaled},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1729-1731},
  url       = {https://mlanthology.org/ijcai/2005/kabanza2005ijcai-path/}
}