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Multi-layer path planning control for the simulation of manipulation tasks : involving semantics and topology

Cailhol, Simon and Fillatreau, Philippe and Zhao, Yingshen and Fourquet, Jean-Yves Multi-layer path planning control for the simulation of manipulation tasks : involving semantics and topology. (2019) Robotics and Computer-Integrated Manufacturing, 57. 17-28. ISSN 0736-5845

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Official URL: https://doi.org/10.1016/j.rcim.2018.10.010

Abstract

The industrial and research communities show increasing interest in using automatic path planning techniques for the simulation of manipulation tasks. Automatic path planning, largely explored by the robotics community over the past 30 years, computes the trajectories of robots or manipulated parts. However, as techniques developed so far use mostly purely (and large) geometric models, they may fail, produce a trajectory of little relevance, or lead to very high computation times, when facing complex or very constrained environments. Involving higher abstraction level information should lead to better relevance of the simulation. In this paper, we propose a novel path planning technique relying on an original multi-layer environment model containing geometrical, topological and semantic layers. A first coarse planning step at the topological and semantic layers and a fine planning step at the local and semantically characterized geometrical layer form the path planning process. Experimental full-scale results show increased control on the planning process, leading to much lower computation times and increased relevance of the computed trajectory.

Item Type:Article
HAL Id:hal-02111780
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Laboratory name:
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Deposited By: Elsa Druffin
Deposited On:22 Feb 2019 09:33

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