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This paper presents a decentralized motion planning algorithm for the distributed sensing of a noisy dynamical process by multiple cooperating mobile sensor agents. This problem is motivated by localization and tracking tasks of dynamic targets. Our gradient-descent method is based on a cost function that measures the overall quality of sensing. We also investigate the role of imperfect communication between sensor agents in this framework, and examine the trade-offs in performance between sensing and communication. Simulations illustrate the basic characteristics of the algorithms.
Conference paper: pdf (278KB)
BibTeX entry:
@INPROCEEDINGS{CBM06, author = {{Timothy H. Chung and Joel W. Burdick and Richard M. Murray}}, month = {May}, year = 2006, title = {{Decentralized Motion Control of Mobile Sensing Agents in a Network}}, booktitle = {{Intl. Conference on Robotics and Automation}}, organization = {ICRA}, keywords = {distributed sensing} }