Tracking Human Motion in Structured Environments Using a Distributed-Camera System
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Decentralized, Adaptive Coverage Control for Networked Robots
International Journal of Robotics Research
Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms
Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms
Consistent labeling of tracked objects in multiple cameras with overlapping fields of view
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unifying geometric, probabilistic, and potential field approaches to multi-robot deployment
International Journal of Robotics Research
Multi-robot three-dimensional coverage of unknown areas
International Journal of Robotics Research
Coverage control in unknown environments using neural networks
Artificial Intelligence Review
ICSR'12 Proceedings of the 4th international conference on Social Robotics
Mutual localization in multi-robot systems using anonymous relative measurements
International Journal of Robotics Research
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This paper presents a distributed control strategy for deploying hovering robots with multiple downward facing cameras to collectively monitor an environment. Information per pixel is proposed as an optimization criterion for multicamera placement problems. This metric is used to derive a specific cost function for multiple downward facing cameras mounted on hovering robot platforms. The cost function leads to a gradient-based distributed controller for positioning the robots. A convergence proof using LaSalle's invariance principle is given to show that the robots converge to locally optimal positions. The controller is demonstrated in experiments with three flying quad-rotor robots.