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Tanwani et al., 2018 - Google Patents

Generalizing robot imitation learning with invariant hidden semi-Markov models

Tanwani et al., 2018

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Document ID
8499141523343210267
Author
Tanwani A
Lee J
Thananjeyan B
Laskey M
Krishnan S
Fox R
Goldberg K
Calinon S
Publication year
Publication venue
International workshop on the algorithmic foundations of robotics

External Links

Snippet

Generalizing manipulation skills to new situations requires extracting invariant patterns from demonstrations. For example, the robot needs to understand the demonstrations at a higher level while being invariant to the appearance of the objects, geometric aspects of objects …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G—PHYSICS
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