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TROB
2010
129views more  TROB 2010»
14 years 11 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
107
Voted
UAI
2008
15 years 2 months ago
Sampling First Order Logical Particles
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
Hannaneh Hajishirzi, Eyal Amir
88
Voted
UAI
2003
15 years 2 months ago
Decentralized Sensor Fusion with Distributed Particle Filters
This paper presents a scalable Bayesian technique for decentralized state estimation from multiple platforms in dynamic environments. As has long been recognized, centralized arch...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
108
Voted
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
14 years 7 months ago
A lower bound for controlled Lagrangian particle tracking error
Abstract-- Autonomous underwater vehicles are flexible mobile platforms for ocean sampling and surveillance missions. However, navigation of these vehicles in unstructured, highly ...
Klementyna Szwaykowska, Fumin Zhang
94
Voted
CVPR
2004
IEEE
16 years 2 months ago
A Rao-Blackwellized Particle Filter for EigenTracking
Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black's influential paper on EigenTracking, they were successfully appl...
Zia Khan, Tucker R. Balch, Frank Dellaert