Collective Decision-Making with Bayesian Robots in Dynamic Environments
Kai Pfister,Heiko Hamann,Kai Pfister,Heiko Hamann
Collective decision-making enables self-organizing robot swarms to act autonomously on a swarm level and is essential to coordinate their actions as a whole. When robots only share and communicate information locally a distributed and decentralized approach is required. In a previous paper [4], an efficient method based on a distributed Bayesian algorithm was created to distinguish a binary enviro...
