Modeling and Learning of Complex Motor Tasks: A Case Study with Robot Table Tennis
Most tasks that humans need to accomplished in their everyday life require certain motor skills. Although most motor skills seem to rely on the same elementary movements, humans are able to accomplish many different tasks. Robots, on the other hand, are still limited to a small number of skills and...
Main Author: | Muelling, Katharina |
---|---|
Format: | Others |
Language: | German en |
Published: |
2013
|
Online Access: | http://tuprints.ulb.tu-darmstadt.de/3557/2/Muelling_Thesis.pdf Muelling, Katharina <http://tuprints.ulb.tu-darmstadt.de/view/person/Muelling=3AKatharina=3A=3A.html> : Modeling and Learning of Complex Motor Tasks: A Case Study with Robot Table Tennis. Technische Universität, Darmstadt [Ph.D. Thesis], (2013) |
Similar Items
-
Optimal Trajectory Generation and Learning Control for Robot Table Tennis
by: Koc, Okan
Published: (2018) -
Motion analysis of table tennis robot
by: XUE, JING-ZE, et al.
Published: (2018) -
The Development of a Robotic Table Tennis System
by: Wel-Lun Sung, et al.
Published: (2009) -
Batting Analysis of a Table Tennis Robot
by: WU Chan-Jung, et al.
Published: (104) -
The Effect of Visual and Tennis Training on Perceptual-Motor Skill and Learning of Forehand Drive in Table Tennis Players
by: Fahimeh Basiri, et al.
Published: (2020-05-01)