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Statistics / Linear filters / Robot control / Monte Carlo methods / Computational statistics / Particle filter / Kalman filter / XT / Recursive Bayesian estimation / Control theory / Electronic engineering / Estimation theory


Pose Estimation for Contact Manipulation with Manifold Particle Filters Michael C. Koval Mehmet R. Dogar Nancy S. Pollard
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Document Date: 2013-08-19 15:30:49


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City

Pittsburgh / Cambridge / /

Company

L. Odhner L. P. / MIT Press / URs / Y. Tenzer L. P. / Intel / /

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Facility

Stable Pushing / Robotics Institute / Massachusetts Institute of Technology / The Robotics Institute / /

IndustryTerm

Online movement adaptation / higher-level planning algorithm / potential solution / improved particle filtering algorithm / realtime solution / metal box / barometers chips / barometer technology / /

Organization

Robotics Institute / MIT / Carnegie Mellon University / Massachusetts Institute of Technology / Personal Robotics Lab / Practical Force / /

Person

T. Hermans / V / M. Kalakrishnan / Resample / P. Pastor / S. Schaal / L. Righetti / Nancy S. Pollard Siddhartha / Michael C. Koval Mehmet / /

Position

Prime Minister / representative / feedback controller / /

ProvinceOrState

Pennsylvania / Massachusetts / /

Technology

sensors Algorithm / MEMS barometers chips / higher-level planning algorithm / Xeon processor / belief Algorithm / simulation / MEMS barometer technology / improved particle filtering algorithm / /

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