Interleaving Planning and Execution for Autonomous Robots (The Springer International Series in Engineering and Computer Science, 385). Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 1996
- Tapa dura
- Nuevo
Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Descripción del artículo del vendedor
In English.
N° de ref. del artículo ria9780792398288_new
- Título
- Interleaving Planning and Execution for Autonomous Robots (The Springer International Series in Engineering and Computer Science, 385)
- Autor
- Nourbakhsh, Illah Reza
- Editorial
- Springer
- Año de publicación
- 1996
- Estado
- New
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 0792398289
- ISBN 13
- 9780792398288
- Peso del artículo
- 536 gramos
Interleaving Planning and Execution for Autonomous Robots develops a formal representation for interleaving planning and execution in the context of incomplete information. This work bridges the gap between theory and practice in robotics by presenting control architectures that are provably sound, complete and optimal, and then describing real-world implementations of these robot architectures. Dervish, winner of the 1994 AAAI National Robot Contest, is one of the robots featured.
Interleaving Planning and Execution for Autonomous Robots is based on the author’s PhD research, covering the same material taught in CS 224, the very popular Introduction to Robot Programming Laboratory taught at Stanford for four years by Professor Michael Genesereth and the author.
Interleaving Planning and Execution for Autonomous Robots is based on the author’s PhD research, covering the same material taught in CS 224, the very popular Introduction to Robot Programming Laboratory taught at Stanford for four years by Professor Michael Genesereth and the author.
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De la contraportada
Interleaving Planning and Execution for Autonomous Robots develops a formal representation for interleaving planning and execution in the context of incomplete information. This work bridges the gap between theory and practice in robotics by presenting control architectures that are able to be proven sound, complete and optimal, and then describing real-world implementations of these robot architectures. Dervish, winner of the 1994 AAAI National Robot Contest, is one of the robots featured.
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