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Advances in Robot Navigation
Edited by Alejandra Barrera, ISBN 978-953-307-346-0, Hard cover, 238 pages, Publisher: InTech, Published: July 05, 2011 under CC BY-NC-SA 3.0 license, in subject Robotics and Automation
DOI: 10.5772/705
Robot navigation includes different interrelated activities such as perception - obtaining and interpreting sensory information; exploration - the strategy that guides the robot to select the next direction to go; mapping - the construction of a spatial representation by using the sensory information perceived; localization - the strategy to estimate the robot position within the spatial map; path planning - the strategy to find a path towards a goal location being optimal or not; and path execution, where motor actions are determined and adapted to environmental changes. This book integrates results from the research work of authors all over the world, addressing the abovementioned activities and analyzing the critical implications of dealing with dynamic environments. Different solutions providing adaptive navigation are taken from nature inspiration, and diverse applications are described in the context of an important field of study: social robotics.
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Book contents
- Chapter 1Conceptual Bases of Robot Navigation Modeling, Control and Applications
- Chapter 2Vision-only Motion Controller for Omni-directional Mobile Robot Navigation
- Chapter 3Application of Streaming Algorithms and DFA Learning for Approximating Solutions to Problems in Robot Navigation
- Chapter 4SLAM and Exploration using Differential Evolution and Fast Marching
- Chapter 5Adaptive Navigation Control for Swarms of Autonomous Mobile Robots
- Chapter 6Hybrid Approach for Global Path Selection & Dynamic Obstacle Avoidance for Mobile Robot Navigation
- Chapter 7Navigation Among Humans
- Chapter 8Brain-actuated Control of Robot Navigation
- Chapter 9A Distributed Mobile Robot Navigation by Snake Coordinated Vision Sensors
- Chapter 10Knowledge Modelling in Two-Level Decision Making for Robot Navigation
- Chapter 11Gait Training using Pneumatically Actuated Robot System

