A scalable information theoretic approach to distributed robot coordination

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2011, Pages 5187-5194

  Julian, Brian J ^a,b   Angermann, Michael ^c   Schwager, Mac ^a,d   Rus, Daniela ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MIT LINCOLN LABORATORY   (United States)

^c GERMAN AEROSPACE CENTER DLR   (Germany)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN FILTERS; CONSENSUS ROUNDS; CONSTANT TIME; COORDINATION ALGORITHMS; DISCRETIZATIONS; DISTRIBUTED INFERENCE; DISTRIBUTED ROBOTS; ENVIRONMENT STATE; FLYING ROBOTS; GRADIENT OF MUTUAL INFORMATION; INFORMATION-THEORETIC APPROACH; JOINT MEASUREMENT; LINEAR TIME; MUTUAL INFORMATION METHOD; NOVEL ALGORITHM; SENSOR MEASUREMENTS;

ALGORITHMS; CONTROLLERS; INFERENCE ENGINES; INFORMATION THEORY; ROBOTICS; SENSORS; UNIVERSAL JOINTS;

INTELLIGENT ROBOTS;

EID: 84455169863     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2011.6048727     Document Type: Conference Paper

References (13)

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