Knowledge-Based Vision Guided Robots

Citation

Rigelsford, J. (2004), "Knowledge-Based Vision Guided Robots", Industrial Robot, Vol. 31 No. 2. https://doi.org/10.1108/ir.2004.04931bae.003

Knowledge-Based Vision Guided Robots

Knowledge-Based Vision Guided Robots

N. Barnes and Z.Q. LiuPhysica-Verlag2002234 pp.ISBN 3-79081494-6£38.50 Hardcover

Keywords: Vision, Robots

“Knowledge-Based Vision Guided Robots” presents an alternative approach to perception for autonomous mobile robots. It applies fuzzy logic and high-level computer vision to the control and guidance of a mobile robot, and is suitable for students and researchers in the fields of robotics, machine vision and soft computing.

After an introductory chapter which presents the aims of the research presented in the text, chapter 2 addresses Related Systems and Ideas. Basic computer vision techniques and vision guided mobile robot systems are discussed along with computer vision for mobile robots.

Chapter 3, Embedded Vision for Mobile Robots, presents the classical computer vision paradigm, and discusses topics including problems with classical computer vision; applying embodied concepts in human vision; and embodiment of, and for vision-guided robots.

The following three chapters address Object Recognition Mobile Robot Guidance; Edge Segmentation and Matching; and Knowledge Based Shape from Shading, respectively. Topics discussed include: determining object pose and distance; edge extraction; edge matching; and using object model knowledge for shape-from- shading.

Chapter 7, Supporting Navigation Components, presents model-based path planning, and odometry, and a fuzzy control scheme, are amongst the topics discussed in chapter 8, Fuzzy Control for Active Perceptual Docking.

System Results and Case Studies are given in chapter 9, while the final chapter provides limitations of the research presented and possible future work.

Jon Rigelsford