Skip to Main content Skip to Navigation

Global Planning for Dextrous Re-orientation of Rigid Objects : Finger Tracking with Rolling and Sliding

Moëz Cherif 1 Kamal K. Gupta 2
1 SHARP - Automatic Programming and Decisional Systems in Robotics
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes
Abstract : We address global motion planning for quasi-static re-orientation of convex objects (polyhedral and smooth objects) with a four-fingertip grasp. We make use of a simple human-like manipulation strategy in which a single finger is moved at each instant while the other three are maintained fixed (wrt the palm) --an extended version of the original finger tracking scheme of Rus [25, 26]. This new version essentially incorporates frictional rolling and sliding at the fingertips and deals with the related contact kinematics and quasi-static motion/force prediction issues. Our contribution is twofold. First, we describe an analysis showing that this extended scheme is suitable for reducing the space of the object motions; thereby making motion planning easier and operating on a search space of low dimension- . Our second contribution is a planner that exploits such a search space reduction and applies the extended finger tracking at the core of a multi-leve- l hierarchical framework to search for global re-orientation trajectories. The planner has been implemented and used for achieving several non-trivial frictional re-orientation tasks that show the capabilities and the promise of our approach.
Document type :
Complete list of metadata
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 11:11:27 AM
Last modification on : Monday, December 28, 2020 - 3:44:01 PM
Long-term archiving on: : Sunday, April 4, 2010 - 11:26:58 PM


  • HAL Id : inria-00072891, version 1



Moëz Cherif, Kamal K. Gupta. Global Planning for Dextrous Re-orientation of Rigid Objects : Finger Tracking with Rolling and Sliding. [Research Report] RR-3770, INRIA. 1999. ⟨inria-00072891⟩



Record views


Files downloads