Automatic design of robot swarms that perform composite missions: an approach based on inverse reinforcement learning

J Szpirer, DG Ramos, M Birattari - 2024 IEEE/RSJ International …, 2024 - ieeexplore.ieee.org
We investigate the automatic design of robot swarms that perform composite missions—that
is, missions specified as the composition of consecutive sub-missions. Automatic design …

Imitating Swarm Behaviors by Learning Agent-Level Controllers

IM Rahman, S White, K Crockett, Y Gu… - 2023 American …, 2023 - ieeexplore.ieee.org
A main challenge in swarm robotics is the unknown map** between simple agent-level
behavior rules and emergent global behaviors. Currently, there is no known swarm control …

Models2Code: Autonomous model‐based generation to expedite the engineering process

C Paniagua, FL Caso - Systems Engineering, 2024 - Wiley Online Library
Insufficient resources and high costs are hindering industrial development, potentially
impeding adaptation to market demands. Overcoming this challenge necessitates …

Enhancing the technological maturity of robot swarms

D Bozhinoski, M Birattari - 2023 IEEE/ACM 5th International …, 2023 - ieeexplore.ieee.org
The field of swarm robotics has seen significant growth in recent years, with potential
applications in a variety of areas. This paper delves into the current research challenges in …

[PDF][PDF] The Exploration and Exploitation Dynamics of Target Tracking Swarms

HL KWA - 2022 - researchgate.net
Nature has always served as a good source of inspiration for solutions to the problems faced
by mankind. The field of swarm intelligence is no exception. Swarm intelligence is the …

[PDF][PDF] Composition of the jury

M DORIGO, T STÜTZLE, S HAUERT, C PINCIROLI… - researchgate.net
Robot swarms are self-organizing groups of robots that can cooperate to accomplish tasks
beyond their individual capabilities. Swarm robotics offers a promising solution for …