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Leslie P. Kaelbling
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11	Collision Avoidance for Unmanned Aircraft using Markov Decision Processes∗ Selim Temizer†, Mykel J. Kochenderfer‡, Leslie P. Kaelbling§, Tom´as Lozano-P´erez¶, and James K. Kuchark Before unmanned aircraft can Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:16:46 Warning systems Dynamic programming Stochastic control Safety Control theory Traffic collision avoidance system Collision avoidance Partially observable Markov decision process Airborne collision avoidance system Statistics Avionics Aircraft collision avoidance systems
12	Collision-Free State Estimation Lawson L.S. Wong, Leslie Pack Kaelbling, and Tom´as Lozano-P´erez Abstract— In state estimation, we often want the maximum likelihood estimate of the current state. For the commonly us Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:18:12 Statistical theory Maximum likelihood Kalman filter Constraint Normal distribution Maximum a posteriori estimation Combinatorial optimization Variance Statistics Estimation theory Mathematical optimization
13	Hierarchical Task and Motion Planning in the Now Leslie Pack Kaelbling and Tom´as Lozano-P´erez Abstract— In this paper we outline an approach to the integration of task planning and motion planning that has the foll Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:28 Automated planning and scheduling Applied mathematics Logic in computer science STRIPS Motion planning Fluent Function Abstraction Algorithm Mathematics Artificial intelligence Theoretical computer science
14	Collision Avoidance for Unmanned Aircraft using Markov Decision Processes∗ Selim Temizer†, Mykel J. Kochenderfer‡, Leslie P. Kaelbling§, Tom´as Lozano-P´erez¶, and James K. Kuchark Before unmanned aircraft can Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2010-01-08 09:25:41 Warning systems Dynamic programming Stochastic control Safety Control theory Traffic collision avoidance system Collision avoidance Partially observable Markov decision process Airborne collision avoidance system Statistics Avionics Aircraft collision avoidance systems
15	Domain and Plan Representation for Task and Motion Planning in Uncertain Domains Leslie Pack Kaelbling and Tom´as Lozano-P´erez I. I NTRODUCTION As robots become more physically robust and capable of sophisticated sens Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:42 Symbol Robot Control theory Applied mathematics Mathematical sciences Motion planning Theoretical computer science Partially observable Markov decision process
16	Virtual Training for Multi-View Object Class Recognition Han-Pang Chiu Leslie Pack Kaelbling Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02139, USA Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:15:36 Object recognition Gesture recognition View model 3D modeling Face detection Scale-invariant feature transform Computer vision Vision Imaging
17	Domain and Plan Representation for Task and Motion Planning in Uncertain Domains Leslie Pack Kaelbling and Tom´as Lozano-P´erez I. I NTRODUCTION As robots become more physically robust and capable of sophisticated sens Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2011-09-29 11:56:44 Symbol Robot Control theory Applied mathematics Mathematical sciences Motion planning Theoretical computer science Partially observable Markov decision process
18	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
19	Pre-image backchaining in belief space for mobile manipulation Leslie Pack Kaelbling and Tom´as Lozano-P´erez 1 Introduction As robots become more physically robust and capable of sophisticated sensing, navigation, and Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2011-09-29 11:56:14 Epistemology Motion planning Theoretical computer science Robot
20	Hierarchical Solution of Large Markov Decision Processes Jennifer Barry and Leslie Pack Kaelbling and Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02139, USA {jbarry,lp Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:02 Dynamic programming Markov processes Stochastic control Network theory Markov decision process Reinforcement learning Symbol Algorithm Shortest path problem Statistics Mathematics Applied mathematics

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