Can Robots Help to Understand Human Locomotion?
André Seyfarth, Sten Grimmer, Daniel Häufle, Karl-Theodor Kalveram
- 发表年份
- 2012
- 引用次数
- 5
摘要
Abstract As robots are becoming increasingly powerful and consequently potentially capable of reproducing human-like movements and interactions, the question appears how these motor skills found in biology could be transferred to the technical system. Such a transfer of biological movements to robots also offers the chance to question and to improve our understanding of the underlying principles on how movements are organized in nature. For this, a new conceptual framework, a test trilogy comparing human, simulation, and robot behavior will be presented and demonstrated exemplary.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002