DocumentCode :
2008279
Title :
Humanoid pitching at a Major League Baseball game: Challenges, approach, implementation and lessons learned
Author :
Lofaro, Daniel M. ; Chunyang Sun ; Oh, P.
Author_Institution :
Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
fYear :
2012
fDate :
Nov. 29 2012-Dec. 1 2012
Firstpage :
423
Lastpage :
428
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; manipulator kinematics; motion control; reachability analysis; sport; trajectory control; Hubo series robot; Major League Baseball game; animation industry; ceremonial first pitch; end effector; full-size humanoid; fully automated approach; human throwing motion capture; humanoid pitching; interpolation method; jerk limiting; kinematic mapping; major league baseball game; motion capture system; sparse reachable map; trajectory key-frames; viable full body throwing trajectory; End effectors; Games; Joints; Kinematics; Sports equipment; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Humanoid Robots (Humanoids), 2012 12th IEEE-RAS International Conference on
Conference_Location :
Osaka
ISSN :
2164-0572
Type :
conf
DOI :
10.1109/HUMANOIDS.2012.6651554
Filename :
6651554
Link To Document :
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