Pankert et al., 2018 - Google Patents
Learning efficient omni-directional capture stepping for humanoid robots from human motion and simulation dataPankert et al., 2018
View PDF- Document ID
- 3819054556405446097
- Author
- Pankert J
- Kaul L
- Asfour T
- Publication year
- Publication venue
- 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)
External Links
Snippet
Two key questions in the context of stepping for push recovery are where to step and how to step there. In this paper we present a fast and computationally light-weight approach for capture stepping of full-sized humanoid robots. To this end, we developed an efficient …
- 230000001429 stepping 0 title abstract description 20
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T13/00—Animation
- G06T13/20—3D [Three Dimensional] animation
- G06T13/40—3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
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