Predictive Autonomous Robot Navigation

Name: Predictive Autonomous Robot Navigation
Brand: LAP Lambert Academic Publishing
SKU: 9783659880070
Price: 268.95 RON
Availability: InStock

POMDPs for robot navigation with integrated human motion prediction

Autor: Amalia Foka

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Editura: LAP Lambert Academic Publishing

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A primary goal in robotics research is to provide means for mobile platforms to perform autonomously...

Informații despre carte

Autor

Amalia Foka

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

136

EAN

9783659880070

Enbook ID

15200174

Editura

LAP Lambert Academic Publishing

Greutate

221

Dimensiuni

150 x 220 x 8

Descriere completă

A primary goal in robotics research is to provide means for mobile platforms to perform autonomously within their environment. Depending on the task at hand, autonomous performance can be defined as the execution by the robot, without human intervention, of certain navigational tasks. Commonly addressed navigation tasks include the localization, mapping, path planning and obstacle avoidance tasks. A probabilistic framework for the navigation tasks of localization, path planning and obstacle avoidance in dynamic environments is presented based on the Partially Observable Markov Decision Process (POMDP) model. POMDPs have the major shortcoming of their extreme computational complexity and hence they have been mainly used in robotics as high level path planners only. An hierarchical representation of POMDPs is introduced specifically designed for the autonomous robot navigation problem and termed as the Robot Navigation-Hierarchical POMDP (RNHPOMDP). Integration of human motion prediction into the navigation model is utilized with two kinds of prediction: short-term and long-term prediction. The book should be useful to students in Robotics utilizing POMDPs.

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Predictive Autonomous Robot Navigation

POMDPs for robot navigation with integrated human motion prediction

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Descriere completă

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