Loop closure grasping: Topological transformations enable strong, gentle, and versatile grasps
Kentaro Barhydt, O. Godson Osele, Sreela Kodali, Cosima du Pasquier, Chase M. Hartquist, H. Harry Asada, Allison M. Okamura

TL;DR
This paper introduces loop closure grasping, a novel robotic grasping approach using topological transformations to achieve strong, gentle, and versatile grasps by switching between open-loop and closed-loop morphologies.
Contribution
It formalizes the concept of topological transformations for grasping and presents a practical implementation using soft inflatable beams, enabling improved grasping capabilities.
Findings
Enables versatile grasp creation with open-loop morphology.
Achieves strong and gentle holding with closed-loop morphology.
Circumvents tradeoffs of single-morphology designs.
Abstract
Grasping mechanisms must both create and subsequently hold grasps that permit safe and effective object manipulation. Existing mechanisms address the different functional requirements of grasp creation and grasp holding using a single morphology, but have yet to achieve the simultaneous strength, gentleness, and versatility needed for many applications. We present "loop closure grasping", a class of robotic grasping that addresses these different functional requirements through topological transformations between open-loop and closed-loop morphologies. We formalize these morphologies for grasping, formulate the loop closure grasping method, and present principles and a design architecture that we implement using soft growing inflated beams, winches, and clamps. The mechanisms' initial open-loop topology enables versatile grasp creation via unencumbered tip movement, and closing the loop…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobotic Locomotion and Control · Soft Robotics and Applications · Robot Manipulation and Learning
