![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 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](https://www.pdfsearch.io/img/81428ad5b0a5824a8fe224ca4cb994eb.jpg) Date: 2012-06-11 20:15:52Stochastic 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 setAdd to Reading ListSource URL: people.csail.mit.eduDownload Document from Source Website File Size: 2,05 MBShare Document on Facebook
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