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Control theory / Motion planning / Trajectory optimization / Partially observable Markov decision process / Kalman filter / Collision detection / Optimal control / Normal distribution / Robot / Mathematical optimization / Statistics / Applied mathematics


Gaussian Belief Space Planning for Imprecise Articulated Robots Alex Lee Sachin Patil John Schulman Zoe McCarthy Jur van den Berg Ken Goldberg Pieter Abbeel Abstract— For many emerging applications, actuators are being
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Document Date: 2013-04-30 13:17:31

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City

London / /

Company

R. Brewer S. P. / Neural Information Processing Systems / W. H. Press S. A. / M. Quigley / Cambridge University Press / Autonomous Systems / Gaussian Systems / Intel / Baxter / Advanced Micro Devices Inc. / /

Country

United Kingdom / /

Facility

Chapel Hill / Physics Library / /

IndustryTerm

computational hardware / manufacturing robot / Deterministic motion planning algorithms / commodity processor / kinematic chain / computed solution / /

NaturalFeature

Chapel Hill / tr[Mt / /

Organization

Cambridge University / Society for Industrial & Applied Mathematics / Environmental Protection Agency / /

Person

Zoe McCarthy Jur van den Berg / Sachin Patil John Schulman Zoe / Ai / John Schulman Zoe McCarthy / Morgan Kaufmann / /

Position

sensing noise rt / random trees planner / rt / uncertainty unaware planner / LQG-MP / /

ProgrammingLanguage

php / C++ / /

ProvinceOrState

North Carolina / /

PublishedMedium

Journal of Machine Learning Research / /

Technology

EPA algorithms / Deterministic motion planning algorithms / commodity processor / Machine Learning / simulation / two algorithms / /

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http /

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