Evolving Amorphous Robots

Research in evolutionary robotics has traditionally been limited to morphologies comprising rigid and discrete components, such as links connected with rotational or linear joints and actuators. Here, we demonstrate the evolution of robots with continuous and amorphous morphologies composed of multiple materials. Actuation is accomplished by periodic volumetric expansion and contraction of one or more of these materials. The challenges of representing evolvable multi-material freeform shapes and evaluation (simulation) of the resulting soft bodies are discussed. Several genotypic representations are explored which use a level-set threshold to generate the material distribution in the phenotype. Soft body simulation of the robot is accomplished using a relaxation algorithm to model the dynamics of the resulting amorphous machines under the actuation material expansion, gravity forces, and non-linear ground friction. These results open the door to a new design space that more closely mimics the freeform, amorphous and continuous nature of biological systems.

[1]  M. Bendsøe,et al.  Generating optimal topologies in structural design using a homogenization method , 1988 .

[2]  Karl Sims,et al.  Evolving virtual creatures , 1994, SIGGRAPH.

[3]  Mark Steedman,et al.  Animated conversation: rule-based generation of facial expression, gesture & spoken intonation for multiple conversational agents , 1994, SIGGRAPH.

[4]  Andrew S. Glassner,et al.  Proceedings of the 27th annual conference on Computer graphics and interactive techniques , 1994, SIGGRAPH 1994.

[5]  Samir W. Mahfoud Niching methods for genetic algorithms , 1996 .

[6]  R. Crawford,et al.  Solid Freeform Fabrication: A New Direction in Manufacturing , 1997 .

[7]  Noboru Kikuchi,et al.  TOPOLOGY OPTIMIZATION OF COMPLIANT MECHANISMS USING THE HOMOGENIZATION METHOD , 1998 .

[8]  Auke Jan Ijspeert,et al.  Evolution and Development of a Central Pattern Generator for the Swimming of a Lamprey , 1999, Artificial Life.

[9]  Quillin,et al.  Kinematic scaling of locomotion by hydrostatic animals: ontogeny of peristaltic crawling by the earthworm lumbricus terrestris , 1999, The Journal of experimental biology.

[10]  Jordan B. Pollack,et al.  Automatic design and manufacture of robotic lifeforms , 2000, Nature.

[11]  J. Sethian,et al.  Structural Boundary Design via Level Set and Immersed Interface Methods , 2000 .

[12]  Yoseph Bar-Cohen,et al.  Electroactive Polymer (EAP) Actuators as Artificial Muscles: Reality, Potential, and Challenges, Second Edition , 2004 .

[13]  Jordan B. Pollack,et al.  Three Generations of Automatically Designed Robots , 2001, Artificial Life.

[14]  Jordan B. Pollack,et al.  Evolution of generative design systems for modular physical robots , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[15]  D. Floreano,et al.  Synthesis of autonomous robots through evolution , 2002, Trends in Cognitive Sciences.

[16]  Xiaoming Wang,et al.  A level set method for structural topology optimization , 2003 .

[17]  Mathematisch-naturwissenschaftlichen Fakult,et al.  Incremental Approaches to the Combined Evolution of a Robot's Body and Brain , 2003 .

[18]  Josh Bongard,et al.  Incremental approaches to the combined evolution of a robot''s body and brain , 2003 .

[19]  Hod Lipson,et al.  Evolving Dynamic Gaits on a Physical Robot , 2004 .

[20]  Hod Lipson,et al.  Freeform fabrication of zinc‐air batteries and electromechanical assemblies , 2004 .

[21]  Masahiro Fujita,et al.  Autonomous evolution of dynamic gaits with two quadruped robots , 2005, IEEE Transactions on Robotics.

[22]  S. O. Mast Structure, movement, locomotion, and stimulation in Amoeba , 1926, Protoplasma.

[23]  Djamel Bouchaffra,et al.  Genetic-based EM algorithm for learning Gaussian mixture models , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  Hod Lipson,et al.  Fab@Home: the personal desktop fabricator kit , 2007 .

[25]  M. Levoy ACM SIGGRAPH 2007 papers , 2007, SIGGRAPH 2007.

[26]  Kenneth O. Stanley,et al.  Compositional Pattern Producing Networks : A Novel Abstraction of Development , 2007 .

[27]  Doug L. James,et al.  FastLSM: fast lattice shape matching for robust real-time deformation , 2007, SIGGRAPH 2007.

[28]  Hod Lipson,et al.  Mechanism as Mind - What Tensegrities and Caterpillars Can Teach Us about Soft Robotics , 2008, ALIFE.

[29]  Soha Hassoun,et al.  Evolving soft robotic locomotion in PhysX , 2009, GECCO '09.

[30]  Hod Lipson,et al.  Design and analysis of digital materials for physical 3D voxel printing , 2009 .

[31]  Hod Lipson,et al.  Multi material topological optimization of structures and mechanisms , 2009, GECCO.

[32]  Heinrich M. Jaeger,et al.  The first steps of a robot based on jamming skin enabled locomotion , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[33]  W. Oechel,et al.  Automatic design and manufacture of robotic lifeforms , 2022 .