Severe Damage Recovery in Evolving Soft Robots through Differentiable
Programming

Severe Damage Recovery in Evolving Soft Robots through Differentiable Programming

14 June 2022

Rasmus Berg Palm

Shyam Sudhakaran

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Papers citing "Severe Damage Recovery in Evolving Soft Robots through Differentiable Programming"

16 / 16 papers shown

Title
Growing 3D Artefacts and Functional Machines with Neural Cellular Automata Shyam Sudhakaran Djordje Grbic Siyan Li Adam Katona Elias Najarro Claire Glanois S. Risi 82 45 0 15 Mar 2021
Regenerating Soft Robots through Neural Cellular Automata Kazuya Horibe Kathryn Walker S. Risi 78 28 0 04 Feb 2021
Reality-assisted evolution of soft robots through large-scale physical experimentation: a review Toby Howison Simon Hauser Josie Hughes F. Iida 57 34 0 29 Sep 2020
A soft robot that adapts to environments through shape change Dylan S. Shah Joshua P. Powers Liana G. Tilton Sam Kriegman Josh Bongard Rebecca Kramer‐Bottiglio 56 146 0 14 Aug 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 89 78 0 06 Jul 2020
Automated shapeshifting for function recovery in damaged robots Sam Kriegman S. Walker Dylan S. Shah Michael Levin Rebecca Kramer‐Bottiglio Josh Bongard 68 61 0 22 May 2019
Deep Neuroevolution of Recurrent and Discrete World Models S. Risi Kenneth O. Stanley OCL 123 53 0 28 Apr 2019
Cellular automata as convolutional neural networks W. Gilpin AI4CE 51 93 0 09 Sep 2018
Interoceptive robustness through environment-mediated morphological development Sam Kriegman Nick Cheney Francesco Corucci Josh Bongard 43 21 0 06 Apr 2018
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities Joel Lehman Jeff Clune D. Misevic C. Adami L. Altenberg ... Danesh Tarapore S. Thibault Westley Weimer R. Watson Jason Yosinksi 116 282 0 09 Mar 2018
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 104 693 0 18 Dec 2017
Scalable Co-Optimization of Morphology and Control in Embodied Machines Nick Cheney Josh Bongard Vytas SunSpiral Hod Lipson 83 105 0 19 Jun 2017
Reset-free Trial-and-Error Learning for Robot Damage Recovery Konstantinos Chatzilygeroudis Vassilis Vassiliades Jean-Baptiste Mouret 48 102 0 13 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Robots that can adapt like animals Antoine Cully Jeff Clune Danesh Tarapore Jean-Baptiste Mouret 101 1,038 0 13 Jul 2014