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20212025
most citedRegenerating Soft Robots through Neural Cellular Automata

7 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2025

Smart Cellular Bricks for Decentralized Shape Classification and Damage Recovery

Rodrigo Moreno, Andres Faina, Shyam Sudhakaran +2

Biological systems possess remarkable capabilities for self-recognition and morphological regeneration, often relying solely on local interactions. Inspired by these decentralized…

cs.NE2022

Severe Damage Recovery in Evolving Soft Robots through Differentiable Programming

Kazuya Horibe, Kathryn Walker, Rasmus Berg Palm +2

Biological systems are very robust to morphological damage, but artificial systems (robots) are currently not. In this paper we present a system based on neural cellular automata,…

cs.RO2022★ 7 cited

A Unified Substrate for Body-Brain Co-evolution

Sidney Pontes-Filho, Kathryn Walker, Elias Najarro +2

The discovery of complex multicellular organism development took millions of years of evolution. The genome of such a multicellular organism guides the development of its body from…

cs.RO2022★ 1 cited

Physical Neural Cellular Automata for 2D Shape Classification

Kathryn Walker, Rasmus Berg Palm, Rodrigo Moreno Garcia +3

Materials with the ability to self-classify their own shape have the potential to advance a wide range of engineering applications and industries. Biological systems possess the ab…

cs.NE2021★ 7 cited

Regenerating Soft Robots through Neural Cellular Automata

Kazuya Horibe, Kathryn Walker, Sebastian Risi

Morphological regeneration is an important feature that highlights the environmental adaptive capacity of biological systems. Lack of this regenerative capacity significantly limit…