Humanoid Pitching at a Major League Baseball Game: Challenges, Approach, Implementation and Lessons Learned

被引:0
|
作者
Lofaro, Daniel M. [1 ]
Sun Chunyang [2 ]
Oh, Paul [3 ]
机构
[1] Drexel Univ, Elect & Comp Engn, Philadelphia, PA 19104 USA
[2] Nanyang Technol Univ, Mech Engn, Singapore 639798, Singapore
[3] Drexel Univ, Mech Engn, Philadelphia, PA 19104 USA
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
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.
引用
收藏
页码:423 / 428
页数:6
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