Title | ||
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Learning diverse motor patterns with a single multi-layered multi-pattern CPG for a humanoid robot |
Abstract | ||
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This paper presents a Multi-Layered Multi-Pattern Central Pattern Generator (CPG) that provides humanoid robots the ability to generate motor patterns in order to perform various upper body tasks (like: reaching and writing). This CPG has two control levels: 1) one for pattern formation (coordination); and 2) another for pattern generation (selection). A unique feature of this CPG is its ability to generate oscillatory, semi-oscillatory, and non-periodic patterns locally, simply through descending control. With a simple learning method the NAO humanoid robot was able to learn how to coordinate motor patterns at different joints in writing numbers from 0 to 9. With a neural-based structure, which separate between the coordination and the selection control levels, our approach is shown to be robust during the execution even with a noisy proprioception (sensory) feedback and also with noisy coordination (pattern formation descending control) signals. |
Year | DOI | Venue |
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2014 | 10.1109/HUMANOIDS.2014.7041489 | Humanoid Robots |
Keywords | Field | DocType |
humanoid robots,learning (artificial intelligence),motion control,NAO humanoid robot,central pattern generator,descending control,diverse motor pattern learning,humanoid robot,noisy coordination signals,noisy proprioception feedback,nonperiodic patterns,oscillatory patterns,pattern formation,pattern generation,semioscillatory patterns,single multilayered multipattern CPG,upper body tasks | CpG site,Simulation,Computer science,Pattern formation,Artificial intelligence,Central pattern generator,Proprioception,Robot,Sensory system,Rhythm,Humanoid robot | Conference |
ISSN | Citations | PageRank |
2164-0572 | 2 | 0.41 |
References | Authors | |
9 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shoubhik Debnath | 1 | 3 | 0.77 |
John Nassour | 2 | 3 | 0.77 |
Gordon Cheng | 3 | 1250 | 115.33 |