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Scaling up Gaussian Belief Space Planning through Covariance-Free Trajectory Optimization and Automatic Differentiation Sachin Patil, Gregory Kahn, Michael Laskey, John Schulman, Ken Goldberg, Pieter Abbeel University of
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Document Date: 2014-04-26 02:11:09


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File Size: 894,79 KB

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Sampling / /

Company

Intel / /

Facility

Pieter Abbeel University of California / /

IndustryTerm

inaccurate dynamical systems / optimization algorithm / robotics applications / computational tools / dynamical systems / search methods / /

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tr(MT / /

Organization

University of California / Berkeley / Pieter Abbeel University / U.S. Securities and Exchange Commission / /

Person

John Schulman / Sachin Patil / Gregory Kahn / Ken Goldberg / Michael Laskey / /

Position

Rt Rt / rt / Graphical model for finite horizon Gaussian belief space planning / representative / Gaussian measurement noise rt / /

ProgrammingLanguage

C++ / /

ProvinceOrState

Montana / California / /

Technology

simulation / optimization algorithm / /

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