Distributed Sampling-based Planning for Non-Myopic Active Information Gathering.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)（2021）
Key words
nonmyopic active information,active information gathering,multirobot systems,reducing uncertainty,dynamical hidden states,complex environments,information gathering approaches,distributed robot teams,central user,distributed sampling-based planning algorithm,target scalability,nonmyopic approach,parallel local trees,information space,corresponding motion space,respective local trees,local beliefs,hidden state,distributed Kalman filter,multirobot information gathering tasks,centralized methods
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