![Statistics / Linear filters / Robot control / Monte Carlo methods / Computational statistics / Particle filter / Kalman filter / XT / Recursive Bayesian estimation / Control theory / Electronic engineering / Estimation theory Statistics / Linear filters / Robot control / Monte Carlo methods / Computational statistics / Particle filter / Kalman filter / XT / Recursive Bayesian estimation / Control theory / Electronic engineering / Estimation theory](https://www.pdfsearch.io/img/4c32b873da58bdb9aeb3c784f246a0b7.jpg)
| Document Date: 2013-08-19 15:30:49 Open Document File Size: 745,31 KBShare Result on Facebook
City Pittsburgh / Cambridge / / Company L. Odhner L. P. / MIT Press / URs / Y. Tenzer L. P. / Intel / / / 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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