Regrasping by Fixtureless Fixturing
Nikhil Chavan-Dafle, Alberto Rodriguez

TL;DR
This paper introduces a fixtureless fixturing method for regrasping objects using external pushes, enabling robust, flexible, and rapid regrasp planning without physical fixtures, demonstrated through experimental validation.
Contribution
The paper proposes a novel fixtureless regrasping technique based on pushing mechanics and a sampling-based planner for rapid, robust grasp reconfiguration.
Findings
The pushing-based regrasping method is robust against uncertainties.
The planner efficiently generates regrasp strategies involving multiple pushes.
Experimental results validate the effectiveness and robustness of the approach.
Abstract
This paper presents a fixturing strategy for regrasping that does not require a physical fixture. To regrasp an object in a gripper, a robot pushes the object against external contact/s in the environment such that the external contact keeps the object stationary while the fingers slide over the object. We call this manipulation technique fixtureless fixturing. Exploiting the mechanics of pushing, we characterize a convex polyhedral set of pushes that results in fixtureless fixturing. These pushes are robust against uncertainty in the object inertia, grasping force, and the friction at the contacts. We propose a sampling-based planner that uses the sets of robust pushes to rapidly build a tree of reachable grasps. A path in this tree is a pushing strategy, possibly involving pushes from different sides, to regrasp the object. We demonstrate the experimental validity and robustness of…
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Taxonomy
TopicsRobot Manipulation and Learning · Robotic Path Planning Algorithms · Teleoperation and Haptic Systems
