
Proceedings Paper
Vision-guided heterogeneous mobile robot dockingFormat | Member Price | Non-Member Price |
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Paper Abstract
Teams of heterogeneous mobile robots are a key aspect of future unmanned system for operations in complex and dynamic urban environments, such as that envisioned by DARPA's Tactical Mobile Robotics program. One examples of an interaction among such team members is the docking of small robot of limited sensory and processing capability with a larger, more capable robot. Applications for such docking include the transfer of power, data, and materia, as well as physically combined maneuver or manipulation. A two-robot system is considered in this paper. The smaller 'throwable' robot contains a video camera capable of imaging the larger 'packable' robot and transmitting the imagery. The packable robot can both sense the throwable robot through an onboard camera, as well as sense itself through the throwable robot's transmitted video, and is capable of processing imagery from either source. This paper describes recent results in the development of control and sensing strategies for automatic mid-range docking of these two robots. Decisions addressed include the selection of which robot's image sensor to use and which robot to maneuver. Initial experimental results are presented for docking using sensor data from each robot.
Paper Details
Date Published: 26 August 1999
PDF: 10 pages
Proc. SPIE 3839, Sensor Fusion and Decentralized Control in Robotic Systems II, (26 August 1999); doi: 10.1117/12.360331
Published in SPIE Proceedings Vol. 3839:
Sensor Fusion and Decentralized Control in Robotic Systems II
Gerard T. McKee; Paul S. Schenker, Editor(s)
PDF: 10 pages
Proc. SPIE 3839, Sensor Fusion and Decentralized Control in Robotic Systems II, (26 August 1999); doi: 10.1117/12.360331
Show Author Affiliations
John R. Spofford, Science Applications International Corp. (United States)
John Blitch, DARPA (United States)
John Blitch, DARPA (United States)
William N. Klarquist, Science Applications International Corp. (United States)
Robin R. Murphy, Univ. of South Florida (United States)
Robin R. Murphy, Univ. of South Florida (United States)
Published in SPIE Proceedings Vol. 3839:
Sensor Fusion and Decentralized Control in Robotic Systems II
Gerard T. McKee; Paul S. Schenker, Editor(s)
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