IRIS Research Assistant
Graduate Research Assistant
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Office:
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213-A Ferris Hall
The University of Tennessee Knoxville, TN 37996-2100 |
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Telephone:
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(865) 974-9685
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FAX:
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N/A | ||
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Email:
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Current Work:
Integration of Multi-Vehicle Systems
Here, work is presented on the development of a control system for a network of miniature robot vehicles. Each vehicle might have a different level of intelligence (from teleoperated to fully-autonomous), a different method of mobility (stationary, wheels, flying, etc.), different communication schemes and protocols (FM, WLAN, Wired Ethernet, RS232, etc.), and/or different onboard sensing suites. The end goal is to create a common control and coordination system between these vehicles at a high-level. A single central command station should be able to directly control any vehicle in the network at any time, as well as receive and process sensor data in real-time. Moreover, the robots should autonomously plan, coordinate, and act when left on their own.
Current research is focused upon visual-servoing techniques for Unmanned Aerial Vehicles. Utilizing the modular sensor bricks engineered for the SAFEbot program, any vehicle can be readily equipped with a complete sensing package. Interesting topics include automated take-off and landing, as well as autonomous navigation using only visual feedback (removing any dependency on GPS and/or inertial sensors).
A miniature electric R/C helicopter and truck will be the initial test platforms. Each will be equipped with a sensor suite, onboard computer, and a standard communication protocol (WLAN).
Vehicle Control System Block Diagram:

Primary Components: