activity
20122026
most citedA soft robot that adapts to environments through shape change

204 citations · 495 across the 31 of their papers we have counts for

collaborators
Showing cs.NEShow all

5 papers · 1 filter

cs.NE2023★ 1 cited

Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata

Caitlin Grasso, Josh Bongard

Empowerment -- a domain independent, information-theoretic metric -- has previously been shown to assist in the evolutionary search for neural cellular automata (NCA) capable of ho…

cs.NE2022

Selecting Continuous Life-Like Cellular Automata for Halting Unpredictability: Evolving for Abiogenesis

Q. Tyrell Davis, Josh Bongard

Substantial efforts have been applied to engineer CA with desired emergent properties, such as supporting gliders. Recent work in continuous CA has generated a wide variety of comp…

cs.NE2022★ 13 cited

Empowered Neural Cellular Automata

Caitlin Grasso, Josh Bongard

Information-theoretic fitness functions are becoming increasingly popular to produce generally useful, task-independent behaviors. One such universal function, dubbed empowerment,…

cs.NE2021

A good body is all you need: avoiding catastrophic interference via agent architecture search

Joshua Powers, Ryan Grindle, Lapo Frati +1

In robotics, catastrophic interference continues to restrain policy training across environments. Efforts to combat catastrophic interference to date focus on novel neural architec…

cs.NE2017★ 21 cited

A Minimal Developmental Model Can Increase Evolvability in Soft Robots

Sam Kriegman, Nick Cheney, Francesco Corucci +1

Different subsystems of organisms adapt over many time scales, such as rapid changes in the nervous system (learning), slower morphological and neurological change over the lifetim…