We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
AN ACTION GENERATION MODEL BY USING TIME SERIES PREDICTION AND ITS APPLICATION TO ROBOT NAVIGATION.
- Authors
GOUKO, MANABU; ITO, KOJI
- Abstract
This paper proposes an action generation model which consists of many motor primitive modules. The motor primitive modules output motor commands based on sensory information. Complicated behavior is generated by sequentially switching the modules. The model also has a prediction unit. This unit predicts which module will be used for current action generation. We have confirmed the effectiveness of the model by applying it to a robot navigation task simulation, and have investigated the influence of the prediction on the action generation.
- Subjects
COMPUTER simulation; ROBOTIC path planning; ARTIFICIAL intelligence; ARTIFICIAL neural networks; MACHINE theory
- Publication
International Journal of Neural Systems, 2009, Vol 19, Issue 2, p105
- ISSN
0129-0657
- Publication type
Article
- DOI
10.1142/S0129065709001872