Transferability in the Automatic Off-Line Design of Robot Swarms: From Sim-to-Real to Embodiment and Design-Method Transfer Across Different Platforms
Author:
Affiliation:
1. IRIDIA, Université libre de Bruxelles, Brussels, Belgium
2. Royal Military Academy, Brussels, Belgium
3. Toyota Motor Europe, Brussels, Belgium
Funder
Belgium's Wallonia-Brussels Federation
ARC Advanced project GbO-Guaranteed by Optimization
Belgian Fonds de la Recherche Scientifique—FNRS
Colombian Ministry of Science, Technology and Innovation—Minciencias
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7083369/10409903/10416330.pdf?arnumber=10416330
Reference46 articles.
1. Crossing the Reality Gap: A Survey on Sim-to-Real Transferability of Robot Controllers in Reinforcement Learning
2. Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
3. Learning modular neural network policies for multi-task and multi-robot transfer
4. AutoMoDe: A novel approach to the automatic design of control software for robot swarms
5. Swarm robotics: From sources of inspiration to domains of application;ahin,2004
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