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After working during the 80's on exact and approximated methods, we started working in the early 90's on probabilistic approaches introduced both in Stanford and Utrecht and now actively explored by our colleagues in Houston, Urbana Champaign, College Station, Chapel Hill, Grenoble, Singapour... We mainly focuse on:
Selected Publications: "Sampling-based motion planning under kinematic loop-closure constraint"
"An iterative diffusion algorithm for part disassembly"
"Probabilistic motion planning for parallel mechanisms"
"Visibility-based probabilistic roadmaps for motion planning"
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| Move3D |
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In the late 1990's we launched the development of Move3D, a generic software platform that benefits from the last research developments in robot motion planning. This platform is a valuable tool for all our theoretical and practical research work. It enables a user to model many kinds of mechanical systems: free-flying, manipulators, nonholonomic mobile vehicles, mobile manipulators, virtual beings, molecules... The main ingredients are an efficient collision checker, a geometric modelling library, a steering method library and a set of probabilistic algorithms based on sampling or diffusion techniques. Selected Publications: "Move3D: a generic platform for path planning"
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