Human interaction with Motion Planning Algorithm

Michel Taïx (1) , David Flavigné (2) , Etienne Ferré (3)

1 LAAS-GEPETTO - Équipe Mouvement des Systèmes Anthropomorphes
2 ISIR - Institut des Systèmes Intelligents et de Robotique
3 KINEO - Kineo CAM

This paper presents interaction between a user and a robot to guide motion through motion planning algorithm. The interaction aims at improving the guidance of an operator during a robot motion task in a virtual environment with the help of an automatic path planning algorithm. Existing works use a two-step decomposition which limits the interaction between the user and the ongoing process. We propose a modification of a classic motion planning method, the Rapidly-exploring Random Tree to build a Interactive-RRT. This method is based on exchanging forces between the algorithm and the user, and on data gathering (labels) from the virtual scene. Examples are shown to illustrate the Interactive motion planning system and analysis are done in function on the user's dexterity to manipulate devices.

Mots clés: Human-system interaction; Interactive device; Motion Planning; Assembly industrial task

Domaines: Automatique / Robotique; Robotique [cs.RO]

Michel Taïx, David Flavigné, Etienne Ferré. Human interaction with Motion Planning Algorithm. 2011. ⟨hal-00605850⟩