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cs.RO2026
Generative adversarial imitation learning for robot swarms: Learning from human demonstrations and trained policies
Mattes Kraus, Jonas Kuckling
In imitation learning, robots are supposed to learn from demonstrations of the desired behavior. Most of the work in imitation learning for swarm robotics provides the demonstratio…
cs.RO2026
How Swarms Differ: Challenges in Collective Behaviour Comparison
André Fialho Jesus, Jonas Kuckling
Collective behaviours often need to be expressed through numerical features, e.g., for classification or imitation learning. This problem is often addressed by proposing an ad-hoc…
cs.RO2025
Bayesian Decentralized Decision-making for Multi-Robot Systems: Sample-efficient Estimation of Event Rates
Gabriel Aguirre, Simay Atasoy Bingöl, Heiko Hamann +1
Effective collective decision-making in swarm robotics often requires balancing exploration, communication and individual uncertainty estimation, especially in hazardous environmen…