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Predictive Autonomous Robot Navigation

Name: Predictive Autonomous Robot Navigation
Brand: LAP Lambert Academic Publishing
SKU: 15200174
Price: 19333 HUF
Availability: InStock
Author: Amalia Foka
ISBN: 9783659880070

POMDPs for robot navigation with integrated human motion prediction

Amalia Foka

Language

English

Book Paperback

Libristo code: 15200174

Publishers LAP Lambert Academic Publishing, November 2015

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

Libristo code: 15200174

132 b

19 333 Ft

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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.