Name: Particle Filters for Robot Navigation (en Inglés)
Price: 279.39 PEN
Availability: InStock
Author: Stachniss, Cyrill ; Burgard, Wolfram
ISBN: 9781601987587

portada Particle Filters for Robot Navigation (en Inglés)

Formato

Libro Físico

Autor

Wolfram Burgard

Cyrill Stachniss

Editorial

Now Publishers

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 0.5 cm

Peso

0.13 kg.

ISBN13

9781601987587

Categorías

Robótica

Particle Filters for Robot Navigation (en Inglés)

Wolfram Burgard (Autor) · Cyrill Stachniss (Autor) · Now Publishers · Tapa Blanda

Libro Físico

S/ 279,39

S/ 558,79

Ahorras: S/ 279,39

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 07 de Junio y el Viernes 21 de Junio.

Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.

Reseña del libro "Particle Filters for Robot Navigation (en Inglés)"

Autonomous navigation is an essential capability for mobile robots. In order to operate robustly, a robot needs to know what the environment looks like, where it is in its environment, and how to navigate within it. Particle Filters for Robot Navigation summarizes approaches that address these three problems and that use particle filters as their main underlying model for representing beliefs. It illustrates that these filters are powerful tools that can robustly estimate the state of the robot and its environment and that they are also well-suited to making decisions about how to navigate in order to minimize a robot's uncertainty about its own position and the state of the environment. They offer a series of attractive capabilities, including the ability to deal with non-Gaussian distributions and nonlinear sensor and motion models. Particle filters have been used for almost twenty years in robotics and have become a standard means for a series of tasks. Particle Filters for Robot Navigation is an ideal primer for anyone interested in the research and application of these filters in robotics.