Intelligent Systems and Robotics
Published on 9. March 2000
464 pages
978-1-040-21859-4 (ISBN)
Description
Intelligent Systems and Robotics focuses on new developments in robotics and intelligent systems and provides insight, guidance and specific techniques vital to those concerned with the design and implementation of robotics and intelligent system applications. Intelligent Systems and Robotics presents information on a 3-D vision for robots and inte
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
File size
16,16 MB
ISBN-13
978-1-040-21859-4 (9781040218594)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
George Zobrist | C. Y. Ho
Intelligent Systems and Robotics
Book
09/2019
1st Edition
CRC Press
€102.30
Shipment within 15-20 days
George Zobrist | C. Y. Ho
Intelligent Systems and Robotics
Book
03/2000
1st Edition
Taylor & Francis
€263.60
Shipment within 15-20 days
Content
1. Detection of Low-Contrast Road Edges for Automous Land Vehicle Navigation 2. Formulation and Algorithms for Solving the Manipulator Reachable Work Space Problems 3. Expert Adaptive Control: Method and Medical Application 4. Integrated Piezoelectric Sensor/Actuator Design for Distributed Identification and Control of Smart Machines and Flexible Robots Part 1: Theory and Experiments 5. Integrated Piezoelectric Sensor/Actuator Design for Distributed Identification and Control of Smart Machines and Flexible Robots Part 2: Finite Element Formulation and Analysis 6. Automated Repair of Aircraft Transparencies 7. Geometric Modeling for Robot Task Planning 8.
Evolution of Standard Fieldbus Networks 9. Triangle-Based Surface Models 10. Representation and Conversion Issues in Solid Modeling
Evolution of Standard Fieldbus Networks 9. Triangle-Based Surface Models 10. Representation and Conversion Issues in Solid Modeling
