Probabilistic action planning for active scene modeling in continuous high-dimensional domains

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2009, Pages 2412-2417

  Eidenberger, Robert ^a   Grundmann, Thilo ^b   Zoellner, Raoul ^b  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

^b SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION PLANNING; CONTROL ACTION COST; GAUSSIANS; HIGH DEMAND; HIGH-DIMENSIONAL; INFORMATION GAIN; MULTIOBJECT; OBJECT OCCLUSION; PARTIALLY OBSERVABLE MARKOV DECISION PROCESS; PERCEPTION SYSTEMS; PLANNING STRATEGIES; PROBABILISTIC FRAMEWORK; QUALITY CRITERIA; REAL TIME; RESOURCE COSTS; SCENE MODELING; SCENE RECOGNITION; SEQUENCE OF ACTIONS; SEQUENTIAL DECISION MAKING; SERVICE ROBOTS; STATE SPACE; SYSTEM KNOWLEDGE;

DECISION MAKING; INFORMATION THEORY; MARKOV PROCESSES; OBJECT RECOGNITION; PLANNING; ROBOTICS; ROBOTS;

PROBABILITY DISTRIBUTIONS;

EID: 70350367553     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2009.5152598     Document Type: Conference Paper

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