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Kimmel et al., 2019 - Google Patents

Belief-space planning using learned models with application to underactuated hands

Kimmel et al., 2019

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Document ID
15287791354025866586
Author
Kimmel A
Sintov A
Tan J
Wen B
Boularias A
Bekris K
Publication year
Publication venue
The International Symposium of Robotics Research

External Links

Snippet

Acquiring a precise model is a challenging task for many important robotic tasks and systems-including in-hand manipulation using underactuated, adaptive hands. Learning stochastic, data-driven models is a promising alternative as they provide not only a way to …
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Classifications

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    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • 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
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
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    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
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