Morphology Choice Affects the Evolution of Affordance Detection in Robots

Author:

Pigozzi Federico1ORCID,Woodman Stephanie2ORCID,Medvet Eric1ORCID,Kramer-Bottiglio Rebecca2ORCID,Bongard Josh3ORCID

Affiliation:

1. University of Trieste, Trieste, Italy

2. Yale University, New Haven, Connecticut, USA

3. University of Vermont, Burlington, Vermont, USA

Publisher

ACM

Reference36 articles.

1. Randall D Beer etal 1996. Toward the evolution of dynamical neural networks for minimally cognitive behavior. From animals to animats 4 (1996) 421--429. Randall D Beer et al. 1996. Toward the evolution of dynamical neural networks for minimally cognitive behavior. From animals to animats 4 (1996) 421--429.

2. Resilient Machines Through Continuous Self-Modeling

3. Boyuan Chen , Robert Kwiatkowski , Carl Vondrick , and Hod Lipson . 2022. Fully body visual self-modeling of robot morphologies. Science Robotics 7, 68 ( 2022 ). Boyuan Chen, Robert Kwiatkowski, Carl Vondrick, and Hod Lipson. 2022. Fully body visual self-modeling of robot morphologies. Science Robotics 7, 68 (2022).

4. Evolving Soft Robots in Tight Spaces

5. Francesco Corucci , Nick Cheney , Francesco Giorgio-Serchi , Josh Bongard , and Cecilia Laschi . 2018. Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions. Soft robotics 5, 4 ( 2018 ), 475--495. Francesco Corucci, Nick Cheney, Francesco Giorgio-Serchi, Josh Bongard, and Cecilia Laschi. 2018. Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions. Soft robotics 5, 4 (2018), 475--495.

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