A Scalable Information Theoretic Approach to Distributed Robot Coordination

This paper presents a scalable information theoretic approach to infer the state of an environment by distributively controlling robots equipped with sensors. The robots iteratively estimate the environment state using a recursive Bayesian filter, while continuously moving to improve the quality of...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Julian, Brian J., Angermann, Michael, Schwager, Mac, Rus, Daniela
Άλλοι συγγραφείς: Daniela Rus
Γλώσσα:en-US
Έκδοση: 2011
Διαθέσιμο Online:http://hdl.handle.net/1721.1/64821