activity
20172022
most citedAutomated shapeshifting for function recovery in damaged robots

52 citations · 79 across the 12 of their papers we have counts for

collaborators
Showing cs.AIShow all

5 papers · 1 filter

cs.AI2018

Combating catastrophic forgetting with developmental compression

Shawn L. E. Beaulieu, Sam Kriegman, Josh C. Bongard

Generally intelligent agents exhibit successful behavior across problems in several settings. Endemic in approaches to realize such intelligence in machines is catastrophic forgett…

cs.AI2018

Interoceptive robustness through environment-mediated morphological development

Sam Kriegman, Nick Cheney, Francesco Corucci +1

Typically, AI researchers and roboticists try to realize intelligent behavior in machines by tuning parameters of a predefined structure (body plan and/or neural network architectu…

cs.AI20172 cited

Morphology dictates a robot's ability to ground crowd-proposed language

Zahra Mahoor, Jack Felag, Josh Bongard

As more robots act in physical proximity to people, it is essential to ensure they make decisions and execute actions that align with human values. To do so, robots need to underst…

cs.AI2017

Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions

Francesco Corucci, Nick Cheney, Francesco Giorgio-Serchi +2

Designing soft robots poses considerable challenges: automated design approaches may be particularly appealing in this field, as they promise to optimize complex multi-material mac…

cs.AI2017

Scalable Co-Optimization of Morphology and Control in Embodied Machines

Nick Cheney, Josh Bongard, Vytas SunSpiral +1

Evolution sculpts both the body plans and nervous systems of agents together over time. In contrast, in AI and robotics, a robot's body plan is usually designed by hand, and contro…