Proposal and Verification of Visual Walke Aiming at the Rotation Target Object Based on Feature Value Caused by Biped Walking Motion
Yosuke Asano, Atsuo Kawamura
- Year
- 2008
- Citations
- 5
- Access
- Open access
Abstract
A definition of the visual walking proposed by authors is that the robot autonomously walks by making decision based on the image feature motion. One of the achievements is “visual tracking walk”. In the past conference, authors proposed a hybrid control for “visual walking”. In this paper, the four vertexes of a square surrounding the red target in the image plane are selected as image features. Using such image features, the robot moves in front of the desired position. The rotation orientation of the robot is improved by the feature values caused by the walking motion. The proposed control law is verified by simulations and experiments.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991