David Bossens

Postdoctoral Researcher

June 2018 – March 2021

Senior Scientist, Centre for Frontier AI Research (CFAR), A*STAR, Singapore

Quality-Diversity Meta-Evolution: Customizing Behavior Spaces to a Meta-Objective
David Bossens, Danesh Tarapore
IEEE Transactions on Evolutionary Computation, 2022 · doi:10.1109/TEVC.2022.3152384
Resilient robot teams: a review integrating decentralised control, change-detection, and learning
David Bossens, Gopal Ramchurn, Danesh Tarapore
Current Robotics Reports, 2022 · doi:10.1007/s43154-022-00079-4
ASVLite: a high-performance simulator for autonomous surface vehicles
Toby Thomas, David Bossens, Danesh Tarapore
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 · doi:10.1109/ICRA48506.2021.9561815
On the use of feature-maps for improved quality-diversity meta-evolution
David Bossens, Danesh Tarapore
GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021 · doi:10.1145/3449726.3459442
Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation
David Bossens, Danesh Tarapore
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 · doi:10.1109/ICRA48506.2021.9560958
Learning behaviour-performance maps with meta-evolution
David Bossens, Jean-Baptiste Mouret, Danesh Tarapore
GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020 · doi:10.1145/3377930.3390181
QED: using Quality-Environment-Diversity to evolve resilient robot swarms
David Bossens, Danesh Tarapore
IEEE Transactions on Evolutionary Computation, 2020 · doi:10.1109/TEVC.2020.3036578