activity
20232026
most citedShow me what you want: Inverse reinforcement learning to automatically design robot swarms by demonstration

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

The Evaluation Cost of Task Specialization in Evolutionary Multi-Robot Systems

Paolo Leopardi, Heiko Hamann, Jonas Kuckling +1

Task specialization can improve the efficiency of multi-robot systems (MRSs). Previous works have investigated the emergence of task-specialist robot controllers through evolutiona…

cs.RO2026

On the Cost of Evolving Task Specialization in Multi-Robot Systems

Paolo Leopardi, Heiko Hamann, Jonas Kuckling +1

Task specialization can lead to simpler robot behaviors and higher efficiency in multi-robot systems. Previous works have shown the emergence of task specialization during evolutio…

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…

cs.RO2023★ 1 cited

Do We Run Large-scale Multi-Robot Systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling

Jonas Kuckling, Robin Luckey, Viktor Avrutin +3

With increasing numbers of mobile robots arriving in real-world applications, more robots coexist in the same space, interact, and possibly collaborate. Methods to provide such sys…

cs.RO2023★ 1 cited

Show me what you want: Inverse reinforcement learning to automatically design robot swarms by demonstration

Ilyes Gharbi, Jonas Kuckling, David Garzón Ramos +1

Automatic design is a promising approach to generating control software for robot swarms. So far, automatic design has relied on mission-specific objective functions to specify the…