activity
20072023
most citedNonequilibrium Electron Interactions in Metal Films

140 citations · 820 across the 40 of their papers we have counts for

collaborators

40 papers

cs.RO2023★ 3 cited

Multi-Target Pursuit by a Decentralized Heterogeneous UAV Swarm using Deep Multi-Agent Reinforcement Learning

Maryam Kouzeghar, Youngbin Song, Malika Meghjani +1

Multi-agent pursuit-evasion tasks involving intelligent targets are notoriously challenging coordination problems. In this paper, we investigate new ways to learn such coordinated…

cs.MA2023

Effect of Swarm Density on Collective Tracking Performance

Hian Lee Kwa, Julien Philippot, Roland Bouffanais

How does the size of a swarm affect its collective action? Despite being arguably a key parameter, no systematic and satisfactory guiding principles exist to select the number of u…

math.OC2023

A Sequential Deep Learning Algorithm for Sampled Mixed-integer Optimisation Problems

Mohammadreza Chamanbaz, Roland Bouffanais

Mixed-integer optimisation problems can be computationally challenging. Here, we introduce and analyse two efficient algorithms with a specific sequential design that are aimed at…

eess.SY2022★ 5 cited

Controllability of a Class of Swarm Signaling Networks

Peng Sun, Robert E. Kooij, Roland Bouffanais

In this paper, we propose closed-form analytical expressions to determine the minimum number of driver nodes that is needed to control a specific class of networks. We consider swa…

cs.RO2022

Adapting the Exploration-Exploitation Balance in Heterogeneous Swarms: Tracking Evasive Targets

Hian Lee Kwa, Victor Babineau, Julien Philippot +1

There has been growing interest in the use of multi-robot systems in various tasks and scenarios. The main attractiveness of such systems is their flexibility, robustness, and scal…

cs.MA2021★ 11 cited

Tracking Multiple Fast Targets With Swarms: Interplay Between Social Interaction and Agent Memory

Hian Lee Kwa, Jabez Leong Kit, Roland Bouffanais

The task of searching for and tracking of multiple targets is a challenging one. However, most works in this area do not consider evasive targets that move faster than the agents c…