29 citations · 163 across the 17 of their papers we have counts for
8 papers · 1 filter
Self-Organized Construction by Minimal Surprise
Tanja Katharina Kaiser, Heiko Hamann
For the robots to achieve a desired behavior, we can program them directly, train them, or give them an innate driver that makes the robots themselves desire the targeted behavior.…
Innate Motivation for Robot Swarms by Minimizing Surprise: From Simple Simulations to Real-World Experiments
Tanja Katharina Kaiser, Heiko Hamann
Applications of large-scale mobile multi-robot systems can be beneficial over monolithic robots because of higher potential for robustness and scalability. Developing controllers f…
ROS2swarm - A ROS 2 Package for Swarm Robot Behaviors
Tanja Katharina Kaiser, Marian Johannes Begemann, Tavia Plattenteich +3
Developing reusable software for mobile robots is still challenging. Even more so for swarm robots, despite the desired simplicity of the robot controllers. Prototyping and experim…
Congestion and Scalability in Robot Swarms: a Study on Collective Decision Making
Karthik Soma, Vivek Shankar Vardharajan, Heiko Hamann +1
One of the most important promises of decentralized systems is scalability, which is often assumed to be present in robot swarm systems without being contested. Simple limitations,…
Individuality in Swarm Robots with the Case Study of Kilobots: Noise, Bug, or Feature?
Mohsen Raoufi, Pawel Romanczuk, Heiko Hamann
Inter-individual differences are studied in natural systems, such as fish, bees, and humans, as they contribute to the complexity of both individual and collective behaviors. Howev…
Estimation of continuous environments by robot swarms: Correlated networks and decision-making
Mohsen Raoufi, Pawel Romanczuk, Heiko Hamann
Collective decision-making is an essential capability of large-scale multi-robot systems to establish autonomy on the swarm level. A large portion of literature on collective decis…