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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
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

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

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