Supporting Training on a Robotic Simulator using a Flexible Path Planner

  • Authors:
  • Roger Nkambou;Khaled Belghith;Froduald Kabanza;Mahie Khan

  • Affiliations:
  • Université/ du Qué/bec à/ Montré/al, Montré/al (Qué/bec) H3C 3P8, Canada, nkambou.roger@uqam.ca/ khan.mahie@uqam.ca;Université/ de Sherbrooke, Sherbrooke (Qué/bec) J1K 2R1, Canada, khaled.belghith@USherbrooke.ca/ kabanza@USherbrooke.ca;Université/ de Sherbrooke, Sherbrooke (Qué/bec) J1K 2R1, Canada, khaled.belghith@USherbrooke.ca/ kabanza@USherbrooke.ca;Université/ du Qué/bec à/ Montré/al, Montré/al (Qué/bec) H3C 3P8, Canada, nkambou.roger@uqam.ca/ khan.mahie@uqam.ca

  • Venue:
  • Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
  • Year:
  • 2005

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Abstract

Manipulating the Space Station Remote Manipulator (SSRMS) on the International Space Station (ISS) is a very challenging task. The operator does not have a direct view of the scene of operation and must rely on cameras mounted on the manipulator and at strategic places of the environment where it operates. In this paper, we describe how a new approach for robot path planning called FADPRM can be used to support the training of astronauts on such a manipulator and under this big constraint of restricted sight.