Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding

By Nick Cheney, Robert MacCurdy, Jeff Clune, Hod Lipson. Annual Conference on Genetic and Evolutionary Computation, 2013

362 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/b5b978eb091aabbf91d5c0b7232f8de6d96df91e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jeff Clune
2. Kenneth O. Stanley
3. Joel Lehman
4. Jean-Baptiste Mouret
5. Rui Wang
6. Sebastian Risi
7. J. Urgen Schmidhuber
8. Sergey Levine

In Computational Theory and Mathematics

1. Kenneth O. Stanley
2. Joel Lehman
3. Jeff Clune
4. Jean-Baptiste Mouret
5. Rui Wang
6. Paul Tonelli

In Mechanical Engineering

1. Jeff Clune
2. Jean-Baptiste Mouret
3. Joel Lehman
4. Kenneth O. Stanley
5. Rui Wang
6. Andre Rosendo
7. Utku Çulha
8. Fumiya Iida

Citations in the corpus

• A Recipe for Soft Fluidic Elastomer Robots (2015, neutral): “VoxCAD and the Voxelyze physics engine, as used in Cheney et al.(61) and Lehman and Stanley,(62) and reviewed by Lipson,(6) are simulation tools for very soft nonlinear materials.”
• Soft Manipulators and Grippers: A Review (2016, methodology): “Some simulators have been developed using non-linear relaxation for kinematic simulation, whereby the system is represented by a system of springs, beams, and masses (Lehman and Stanley, 2011; Cheney et  al., 2013).”
• Illuminating search spaces by mapping elites (2015, methodology): “A lengthier explanation of CPPNs and how they specify the voxels of the soft robots in this domain can be found in Cheney et al. 2013 8 , from which some text in this description of methods was derived.”
• AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence (2019, background): “Such specialization is especially easy to imagine if the bodies of virtual robots are simultaneously optimized, which is a subfield with a long history [158, 21, 22, 67, 6, 57].”
• Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions (2019, background): “[66] would also be fascinating to combine with ever-unfolding new obstacle courses.”
• Challenges and Opportunities for Design, Simulation, and Fabrication of Soft Robots (2014, neutral): “Instead, we developed an approach based on nonlinear relaxation and used it for kinematic simulation.(4,9) In nonlinear relaxation, the structure is represented as a network of simple elements such as springs, beams, and masses.”