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Abstract

This article describes new opportunities in soft robotics and some potential avenues to overcome challenges associated with the realization of these opportunities. New opportunities include new applications that exploit novel amorphous nonrigid dynamics, a new design space due to the elimination of traditional manufacturing constraints, more opportunities for modeling and mimicry of natural systems, and increased safety and mechanical compatibility with humans. Challenges include limited simulation and design automation tools, lack of soft actuation methods, and difficulty in manufacturing and component standardization. Both computational (e.g., evolutionary design tools) and mechanical (porous and jamming materials) approaches are proposed to alleviate these needs.

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References

Hiller

, Lipson

. Dynamic simulation of deformable heterogeneous objects. Preprint available at http://arxiv.org/abs/1212.2845 (accessed July 2, 2013).

Auerbach

, Bongard

. Evolving CPPNs to grow three-dimensional physical structures. Proceedings of the Genetic & Evolutionary Computation Conference. New York: ACM, 2010, pp. 627–634.

Bongard

. Incremental approaches to the combined evolution of a robot's body and brain. PhD Thesis, University of Zurich, 2003.

Cheney

, MacCurdy

, Clune

, Lipson

. Unshackling evolution: evolving soft robots with multiple materials and a powerful generative, Encoding. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2013. http://creativemachines.cornell.edu/publications (accessed July 2, 2013).

Hiller

, Lipson

. Automatic design and manufacture of soft robots. IEEE Trans Robot, 2012; 28:457–466.

Amend

Jr. , Brown

, Rodenberg

, Jaeger

, Lipson

. A positive pressure universal gripper based on the jamming of granular material. IEEE Trans Robot, 2012; 28:341–350.

Steltz

, Mozeika

, Rembisz

, Corson

, Jaeger

. Jamming as an enabling technology for soft robotics. Proceedings of SPIE, Vol. 7642, Electroactive Polymer Actuators and Devices (EAPAD) 2010. Article ID 764225 (April 09, 2010); DOI:10.1117/12.853182.

Rieffel

, Valero Cuevas

, Lipson

. Morphological communication: exploiting coupled dynamics in a complex mechanical structure to achieve locomotion. J R Soc Interface, 2010; 45:613–621.

Lehman

, Stanley

. Evolving a diversity of virtual creatures through novelty search and local competition. Proceedings of the Genetic & Evolutionary Computation Conference. New York: ACM, 2011, pp. 211–218.

10.

VoxCAD and the Voxelyze physics engine. Wiki: www.voxcad.com/ (accessed July 2, 2013).

11.

Hornby

, Lipson

, Pollack

. Generative encodings for the automated design of modular physical robots. IEEE Trans Robot Automat, 2003; 19:703–719.

12.

Sims

. Evolving virtual creatures. Proceedings of the 21st Annual Conference on Computer Graphics and Interactive Techniques. New York: ACM, 1994, pp. 15–22.

13.

Lipson

. A relaxation method for simulating the kinematics of compound nonlinear mechanisms. ASME J Mech Des, 2006; 128:719–728.

14.

Lipson

, Pollack

. Automatic design and manufacture of robotic lifeforms. Nature, 2000; 406:974–978.

Challenges and Opportunities for Design,Simulation,and Fabrication of Soft Robots

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