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07/05/2023
Many-objective Optimization via Voting for Elites
Real-world problems are often comprised of many objectives and require s...
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06/12/2023
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots
Soft robotics is a rapidly growing area of robotics research that would ...
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08/26/2021
Continual learning under domain transfer with sparse synaptic bursting
Existing machines are functionally specific tools that were made for eas...
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02/21/2020
Learning to Continually Learn
Continual lifelong learning requires an agent or model to learn many seq...
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10/15/2019
Embodiment dictates learnability in neural controllers
Catastrophic forgetting continues to severely restrict the learnability ...
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04/06/2018
Interoceptive robustness through environment-mediated morphological development
Typically, AI researchers and roboticists try to realize intelligent beh...
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03/09/2018
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Biological evolution provides a creative fount of complex and subtle ada...
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11/20/2017
How morphological development can guide evolution
Organisms result from multiple adaptive processes occurring and interact...
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11/17/2017
Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions
Designing soft robots poses considerable challenges: automated design ap...
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06/22/2017
A Minimal Developmental Model Can Increase Evolvability in Soft Robots
Different subsystems of organisms adapt over many time scales, such as r...
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06/19/2017
Scalable Co-Optimization of Morphology and Control in Embodied Machines
Evolution sculpts both the body plans and nervous systems of agents toge...
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04/17/2013