activity
20202022
most citedResilient robot teams: a review integrating decentralised control, change-detection, and learning

18 citations · 39 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2022★ 18 cited

Resilient robot teams: a review integrating decentralised control, change-detection, and learning

David M. Bossens, Sarvapali Ramchurn, Danesh Tarapore

Purpose of review: This paper reviews opportunities and challenges for decentralised control, change-detection, and learning in the context of resilient robot teams. Recent finding…

cs.LG2021★ 3 cited

Explicit Explore, Exploit, or Escape (): near-optimal safety-constrained reinforcement learning in polynomial time

David M. Bossens, Nicholas Bishop

In reinforcement learning (RL), an agent must explore an initially unknown environment in order to learn a desired behaviour. When RL agents are deployed in real world environments…

cs.NE2021★ 9 cited

Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective

David M. Bossens, Danesh Tarapore

Quality-Diversity (QD) algorithms evolve behaviourally diverse and high-performing solutions. To illuminate the elite solutions for a space of behaviours, QD algorithms require the…

cs.NE2021

On the use of feature-maps and parameter control for improved quality-diversity meta-evolution

David M. Bossens, Danesh Tarapore

In Quality-Diversity (QD) algorithms, which evolve a behaviourally diverse archive of high-performing solutions, the behaviour space is a difficult design choice that should be tai…

cs.RO2020★ 9 cited

Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation

David M. Bossens, Danesh Tarapore

Rapid performance recovery from unforeseen environmental perturbations remains a grand challenge in swarm robotics. To solve this challenge, we investigate a behaviour adaptation a…

cs.NE2020

QED: using Quality-Environment-Diversity to evolve resilient robot swarms

David M. Bossens, Danesh Tarapore

In swarm robotics, any of the robots in a swarm may be affected by different faults, resulting in significant performance declines. To allow fault recovery from randomly injected f…

cs.RO2020

ASVLite: a high-performance simulator for autonomous surface vehicles

Toby Thomas, David M. Bossens, Danesh Tarapore

The energy of ocean waves is the key distinguishing factor of marine environments compared to other aquatic environments such as lakes and rivers. Waves significantly affect the dy…