DocumentCode :
596379
Title :
Humanoid throws inaugural pitch at Major League Baseball game: Challenges, approach, implementation and lessons learned
Author :
Lofaro, Daniel M. ; Oh, P.
Author_Institution :
Electr. & Comput. Eng. Dept., Drexel Univ., Philadelphia, PA, USA
fYear :
2012
fDate :
26-28 Nov. 2012
Firstpage :
153
Lastpage :
157
Abstract :
Three different approaches of having a full-size humanoid throw the first pitch at a Major League Baseball game are tested and implemented. The approaches include kinematic mapping using a motion capture system to capture a human´s throwing motion then mapping that to a full-size humanoid. The second method is a fully automated approach that uses the sparse reachable map to provide viable full body throwing trajectories to provide the end effector with the desired velocity. The third approach borrows from the animation industry. The key-frames of the desired trajectory are constructed by hand. The time between each key-frame is defined by the user. Interpolation methods are used to smoothly move between key frames while limiting the jerk. Each method is analyzed and tested in simulation and on physical hardware. The full-size humanoid used is the Hubo series robot. Based on the latter tests one method was chosen to successfully throw the ceremonial first pitch at a Major League Baseball game in April 2012.
Keywords :
end effectors; humanoid robots; interpolation; motion control; robot kinematics; sport; trajectory control; Hubo series robot; animation industry; end effector; full body throwing trajectory; full-size humanoid; human throwing motion; inaugural pitch; interpolation methods; kinematic mapping; major league baseball game; motion capture system; sparse reachable map; Humans; Joints; Kinematics; Robot kinematics; Sports equipment; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2012 9th International Conference on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4673-3111-1
Electronic_ISBN :
978-1-4673-3110-4
Type :
conf
DOI :
10.1109/URAI.2012.6462956
Filename :
6462956
Link To Document :
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