Modular controllers facilitate the co-optimization of morphology and control in soft robots

A Mertan, N Cheney - Proceedings of the Genetic and Evolutionary …, 2023 - dl.acm.org
Soft robotics is a rapidly growing area of robotics research that would benefit greatly from
design automation, given the challenges of manually engineering complex, compliant, and …

Neural Differential Appearance Equations

C Liu, T Ritschel - ACM Transactions on Graphics (TOG), 2024 - dl.acm.org
We propose a method to reproduce dynamic appearance textures with space-stationary but
time-varying visual statistics. While most previous work decomposes dynamic textures into …

NeuroAI for AI Safety

P Mineault, N Zanichelli, JZ Peng, A Arkhipov… - arXiv preprint arXiv …, 2024 - arxiv.org
As AI systems become increasingly powerful, the need for safe AI has become more
pressing. Humans are an attractive model for AI safety: as the only known agents capable of …

Discovering Sensorimotor Agency in Cellular Automata using Diversity Search

G Hamon, M Etcheverry, BWC Chan… - arXiv preprint arXiv …, 2024 - arxiv.org
The research field of Artificial Life studies how life-like phenomena such as autopoiesis,
agency, or self-regulation can self-organize in computer simulations. In cellular automata …

3D Neural Cellular Automata-Simulating morphogenesis: Shape, color and behavior of three-dimensional structures

OE Skjeltorp - 2022 - duo.uio.no
Plants, fungi, humans and all other multicellular organisms go through the same process of
growing step by step. Starting as a single cell with a genome containing all the genetic …

Artificial morphogenesis via 3D neural cellular automata

MA Ravelo - 2024 - repositories.lib.utexas.edu
Morphogenesis is the biological process by which an organism grows and takes its form. It is
responsible for the growth and shape of all living things and has historically been studied …

Curiosity-driven AI for Science: Automated Discovery of Self-Organized Structures

M Etcheverry - 2023 - theses.hal.science
Complex systems are very hard to predict and control due to their chaotic dynamics and
open-ended outcomes. However, understanding and harnessing the underlying …

[引用][C] Scalable Probabilistic 3D Shape Generation with Generative Cellular Automata

장동수 - 2022 - 서울대학교대학원