ARAS: Ambiguity-aware Robust Active SLAM Based on Multi-hypothesis State and Map Estimations
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)（2020）
关键词
general indoor environments,similar single-hypothesis approach,multihypothesis state,map estimations,ambiguity-aware robust active SLAM framework,ambiguous measurements,multiple probable solutions,multihypothesis SLAM system,MH-SLAM,probable estimations,decision making,planning,single hypothesis,efficient multihypothesis exploration,active loop closing module,multihypothesis estimations,ARAS algorithm,active SLAM approach,ARAS framework
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