Title :
Intercepting a falling object: digital video robot
Author :
Mundhra, Keshav ; Suluh, Anthony ; Sugar, Thomas ; McBeath, Michael
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
Human based algorithms; to catch fly balls have been research and studied. In the paper, the validity of the human models are tested by catching balls that are dropped vertically downward. The regular OAC (optical acceleration cancellation) and the inverted OAC models are simulated first, and then tested experimentally with a mobile robot. The simulation and the experimental results show that both methods are able to intercept the dropped ball, but the initial and final motions are different. A digital image processing program, DVRobot, was written to process digital images very quickly.
Keywords :
mobile robots; path planning; position control; robot vision; video signal processing; DVRobot; digital image processing program; digital video robot; falling object interception; fly balls; human based algorithms; mobile robot; optical acceleration cancellation; Acceleration; Cameras; Digital images; High speed optical techniques; Humans; Mobile robots; Navigation; Psychology; Robot vision systems; Testing;
Conference_Titel :
Robotics and Automation, 2002. Proceedings. ICRA '02. IEEE International Conference on
Print_ISBN :
0-7803-7272-7
DOI :
10.1109/ROBOT.2002.1014844