Universal robotic gripper based on the jamming of granular material
- aJames Franck Institute and Department of Physics, University of Chicago, Chicago, IL 60637;
- bSchool of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853;
- ciRobot G and I Research, 8 Crosby Drive, Bedford, MA 01730; and
- dDefense Advanced Research Projects Agency, 3701 North Fairfax Drive, Arlington, VA 22203
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Edited by Daniel Meiron, Cal Tech, and accepted by the Editorial Board September 17, 2010 (received for review March 16, 2010)

Abstract
Gripping and holding of objects are key tasks for robotic manipulators. The development of universal grippers able to pick up unfamiliar objects of widely varying shape and surface properties remains, however, challenging. Most current designs are based on the multifingered hand, but this approach introduces hardware and software complexities. These include large numbers of controllable joints, the need for force sensing if objects are to be handled securely without crushing them, and the computational overhead to decide how much stress each finger should apply and where. Here we demonstrate a completely different approach to a universal gripper. Individual fingers are replaced by a single mass of granular material that, when pressed onto a target object, flows around it and conforms to its shape. Upon application of a vacuum the granular material contracts and hardens quickly to pinch and hold the object without requiring sensory feedback. We find that volume changes of less than 0.5% suffice to grip objects reliably and hold them with forces exceeding many times their weight. We show that the operating principle is the ability of granular materials to transition between an unjammed, deformable state and a jammed state with solid-like rigidity. We delineate three separate mechanisms, friction, suction, and interlocking, that contribute to the gripping force. Using a simple model we relate each of them to the mechanical strength of the jammed state. This advance opens up new possibilities for the design of simple, yet highly adaptive systems that excel at fast gripping of complex objects.
Footnotes
- 1To whom correspondence should be addressed. E-mail: embrown{at}uchicago.edu.
Author contributions: E.B., J.A., A.M., E.S., M.R.Z., H.L., and H.M.J. designed research; E.B., N.R., J.A., A.M., and E.S. performed research; E.B., N.R., J.A., A.M., E.S., H.L., and H.M.J. analyzed data; and E.B., J.A., and H.M.J. wrote the paper.
Conflict of interest statement: E.B., J.A., H.L., H.M.J., and iRobot Corporation have filed patent applications on related technology.
This article is a PNAS Direct Submission. D.M. is a guest editor invited by the Editorial Board.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1003250107/-/DCSupplemental.
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