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Estimation theory / Robot control / Linear filters / Signal processing / Monte Carlo methods / Particle filter / Recursive Bayesian estimation / Kalman filter / Simultaneous localization and mapping / Statistics / Control theory / Electronic engineering


Pose Estimation for Contact Manipulation with Manifold Particle Filters Michael C. Koval Mehmet R. Dogar Nancy S. Pollard
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Document Date: 2013-05-18 23:41:21

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File Size: 1,86 MB

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Pittsburgh / Cambridge / /

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MIT Press / URs / Personal Robotics Laboratory / Intel / /

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Stable Pushing / Carnegie Mellon University / Robotics Institute / Massachusetts Institute of Technology / The Robotics Institute / Personal Robotics Laboratory / /

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pre-computing samples / Online movement adaptation / higher-level planning algorithm / potential solution / improved particle filtering algorithm / realtime solution / density estimation algorithm / /

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Robotics Institute / MIT / Carnegie Mellon University / PF MPF / Massachusetts Institute of Technology / Practical Force / /

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T. Hermans / V / M. Kalakrishnan / P. Pastor / S. Schaal / F. Lillian Chang / Joshua R. Smith / L. Righetti / Nancy S. Pollard Siddhartha / Michael C. Koval Mehmet / /

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representative / feedback controller / /

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Pennsylvania / Massachusetts / /

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Our algorithm / higher-level planning algorithm / Xeon processor / non-linear Algorithm / density estimation algorithm / simulation / improved particle filtering algorithm / /

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