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 2017Show all

7 papers · 1 filter

cs.AI2017★ 2 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…

q-bio.PE2017★ 53 cited

How morphological development can guide evolution

Sam Kriegman, Nick Cheney, Josh Bongard

Organisms result from adaptive processes interacting across different time scales. One such interaction is that between development and evolution. Models have shown that developmen…

cs.HC2017★ 18 cited

Crowdsourcing Predictors of Residential Electric Energy Usage

Mark D. Wagy, Josh C. Bongard, James P. Bagrow +1

Crowdsourcing has been successfully applied in many domains including astronomy, cryptography and biology. In order to test its potential for useful application in a Smart Grid con…

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…

stat.ML2017★ 1 cited

Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling

Sam Kriegman, Marcin Szubert, Josh C. Bongard +1

Satellite imagery and remote sensing provide explanatory variables at relatively high resolutions for modeling geospatial phenomena, yet regional summaries are often desirable for…

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…