Robot Vision: Strategies, Algorithms and Motion Planning

✍ Scribed by Daiki Ito, Bing Xu, R. P. Razzoli, Nan-Feng Xiao

• Publisher: Nova Science Pub Inc
• Year: 2009
• Tongue: English
• Leaves: 489
• Category: Library

✦ Synopsis

The field of robot vision guidance is developing rapidly. The benefits of sophisticated vision technology include savings, improved quality, reliability, safety and productivity. Robot vision is used for part identification and navigation. Vision applications generally deal with finding a part and orienting it for robotic handling or inspection before an application is performed. Sometimes vision guided robots can replace multiple mechanical tools with a single robot station.A combination of vision algorithms, calibration, temperature software, and cameras provide the vision ability. Calibration of robot vision system is very application dependent. They can range from a simple guidance application to a more complex application that uses data from multiple sensors. Algorithms are consistently improving, allowing for sophisticated detection. Many robots are now available with collision detection, allowing them to work alongside other robots without the fear of a major collision. They simply stop moving momentarily if they detect another object in their motion path. This book presents the latest research in the field from around the world.

✦ Table of Contents

ROBOT VISION: STRATEGIES, ALGORITHMS AND MOTION PLANNING......Page 3
ROBOT VISION: STRATEGIES, ALGORITHMS AND MOTION PLANNING......Page 5
CONTENTS......Page 7
PREFACE......Page 9
A BUILDING ALGORITHM BASED ON GRID-TOPOLOGICAL MAP FOR
MOBILE ROBOT NAVIGATION......Page 15
MOBILE ROBOT NAVIGATION STRATEGIES ORIENTED TO GOAL ACHIEVEMENT WITH LOCAL MONOCULAR DATA......Page 23
LATEST DEVELOPMENTS IN FEATURE BASED MAPPING AND NAVIGATION FOR INDOOR SERVICE ROBOTS
......Page 137
ROBOT NAVIGATION USING PARAMETERIZED GROWING NEURAL GAS THAT LEARNS TOPOLOGIC MAPS
......Page 185
TOPOLOGICAL KNOWLEDGE EXTRACTION USING SELF-ORGANISING NEURAL NETWORKS......Page 199
THE SWAN, SUBMARINE WOBBLE-FREE AUTONOMOUS NAVIGATOR, PROJECT: THE COMPENSATED VECTORED-THRUST PATROLLER......Page 225
AUTONOMOUS ROBOT NAVIGATION USING DIFFERENT FEATURES AND HIERARCHICAL DISCRIMINANT REGRESSION......Page 293
ADVANCES IN MAPLESS AND MAP-BASED STRATEGIES FOR ROBOT NAVIGATION – A REVIEW......Page 315
DYNAMICS, MOTION PLANNING AND CONTROL OF WHEEL-LEGGED ROBOTS FOR SUPERIOR FIELD NAVIGATIONS......Page 339
ARTIFICIAL NEURAL NETWORKS FOR LEARNING AND DECISION MAKING IN MULTI-AGENT ROBOT SOCCER SYSTEMS......Page 369
ACCURATE CAMERA CALIBRATION FOR 3D DATA ACQUISITION: A COMPARATIVE STUDY......Page 397
REAL-TIME MAP BUILDING AND ACTIVE EXPLORATION FOR AUTONOMOUS ROBOT IN UNKNOWN ENVIRONMENTS......Page 435
TELEOPERATION OF MOBILE ROBOTS VIA INTERNET: GUIDELINES OF DESIGN......Page 459
INDEX......Page 475