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Partially observable Markov decision process
Results: 193

#	Item
131	Grasping POMDPs Kaijen Hsiao and Leslie Pack Kaelbling and Tom´as Lozano-P´erez Abstract— We provide a method for planning under uncertainty for robotic manipulation by partitioning the configuration space into a set Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-03-08 12:09:00 Stochastic control Partially observable Markov decision process Procedural programming languages Lisp programming language Markov decision process ALGOL 68 Automated planning and scheduling Motion planning Cons Statistics Dynamic programming Markov processes
132	Representing hierarchical POMDPs as DBNs for multi-scale robot localization Georgios Theocharous Kevin Murphy Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:54 Dynamic programming Stochastic control Hierarchical hidden Markov model Hidden Markov model Partially observable Markov decision process Expectation–maximization algorithm Markov decision process Algorithm Markov chain Statistics Markov processes Markov models
133	Ann Math Artif Intell DOI[removed]s10472[removed]Planning in partially-observable switching-mode continuous domains Emma Brunskill · Leslie Pack Kaelbling · Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2010-07-25 19:01:16 Stochastic control Control theory Partially observable Markov decision process Automated planning and scheduling Markov decision process Monte Carlo POMDP State space Dynamical system Continuous function Statistics Dynamic programming Markov processes
134	Grasping POMDPs Kaijen Hsiao and Leslie Pack Kaelbling and Tom´as Lozano-P´erez Abstract— We provide a method for planning under uncertainty for robotic manipulation by partitioning the configuration space into a set Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:15:52 Stochastic control Partially observable Markov decision process Procedural programming languages Lisp programming language Markov decision process ALGOL 68 Automated planning and scheduling Motion planning Cons Statistics Dynamic programming Markov processes
135	Robust Belief-Based Execution of Manipulation Programs Kaijen Hsiao, Tom´as Lozano-P´erez, and Leslie Pack Kaelbling Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, {kjhs Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:16:01 Stochastic control Dynamical system Motion planning Robot Kinematics Normal distribution Statistics Dynamic programming Partially observable Markov decision process
136	journal template 8.25 x 11 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:40 Motion planning Limit Kinematics Control theory Applied mathematics Mathematical sciences Dynamic programming Partially observable Markov decision process Stochastic control
137	Efficient planning in non-Gaussian belief spaces and its application to robot grasping Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, and Russ Tedrake Abstract The limited nature of robot sensors make many important Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:55 Robot control Cybernetics Linear filters Markov models Kalman filter Particle filter Partially observable Markov decision process Normal distribution Recursive Bayesian estimation Statistics Control theory Estimation theory
138	Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]August 27, 2011 Add to Reading List Source URL: dspace.mit.edu Language: English - Date: 2013-05-23 02:40:20 Kalman filter Normal distribution Partially observable Markov decision process Maximum likelihood Particle filter Statistical hypothesis testing Statistics Robot control Estimation theory
139	Continuous-State POMDPs with Hybrid Dynamics Emma Brunskill, Leslie Kaelbling, Tomas Lozano-Perez, Nicholas Roy Computer Science and Artificial Laboratory Massachusetts Institute of Technology Cambridge, MA emma,lpk,tlp, Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:15:55 Dynamic programming Markov processes Stochastic control Linear algebra Partially observable Markov decision process Control theory Markov decision process Norm Vector space Algebra Mathematics Statistics
140	Ann Math Artif Intell DOI[removed]s10472[removed]Planning in partially-observable switching-mode continuous domains Emma Brunskill · Leslie Pack Kaelbling · Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:16:52 Stochastic control Control theory Partially observable Markov decision process Automated planning and scheduling Markov decision process Monte Carlo POMDP State space Dynamical system Continuous function Statistics Dynamic programming Markov processes

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