Path-Planning for Autonomous Training on Robot Manipulators in Space
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1729-1730.
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.
@inproceedings{ijcai2005p261,
title = {Path-Planning for Autonomous Training on Robot Manipulators in Space},
author = {Kabanza, Froduald and Nkambou, Roger and Belghith, Khaled},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1729--1730},
year = {2005},
url = {https://ijcai.org/proceedings/2005/261},
}
TY - CPAPER TI - Path-Planning for Autonomous Training on Robot Manipulators in Space AU - Kabanza, Froduald AU - Nkambou, Roger AU - Belghith, Khaled T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1729 EP - 1730 UR - https://ijcai.org/proceedings/2005/261 ER -Copied
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