Modern robots can perform complex tasks with astonishing precision and speed - within a structured environment. The challenge is to make a seeing robot that can perceive and react reliably in the complex and unpredictable real world. To this end, vision-based control of motion has drawn increasing interest in recent years.

From the Back Cover

Find the design principles you need for moving vision-based control out of the lab and into the real world. In this edited collection of state-of-the-art, specially written chapters, contributors highly regarded in robust vision bring you the latest applications in the field. Whatever your industry-from space ventures to mobile surveillance-you will discover throughout this book a strong emphasis on robust vision. You will also find an in-depth analysis of vision techniques used to control the motion of robots and machines. Expert contributors offer insights into:

Current control issues including hardware design, system architecture, sensor data fusion, and visual tracking
Modeling methods for vision-based sensing
Useful summaries of recent conclusions drawn from robust-vision workshops
Future research needs

Robust Vision for Vision-Based Control of Motion is a valuable tool for learning current approaches to robust vision-based control of motion. Learn from the experts how to speed up your project development and broaden your technical expertise for future collaborative efforts in your industry.

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