Intelligent Control of Robotic Systems

2003. Auflage 2003
ISBN: 978-1-4020-1630-1
Verlag: Springer

Buch, Englisch, Band 25, 296 Seiten, Format (B × H): 168 mm x 247 mm, Gewicht: 689 g

Reihe: Intelligent Systems, Control and Automation: Science and Engineering

As robotic systems make their way into standard practice, they have opened the door to a wide spectrum of complex applications. Such applications usually demand that the robots be highly intelligent. Future robots are likely to have greater sensory capabilities, more intelligence, higher levels of manual dexter­ ity, and adequate mobility, compared to humans. In order to ensure high-quality control and performance in robotics, new intelligent control techniques must be developed, which are capable of coping with task complexity, multi-objective decision making, large volumes of perception data and substantial amounts of heuristic information. Hence, the pursuit of intelligent autonomous robotic systems has been a topic of much fascinating research in recent years. On the other hand, as emerging technologies, Soft Computing paradigms consisting of complementary elements of Fuzzy Logic, Neural Computing and Evolutionary Computation are viewed as the most promising methods towards intelligent robotic systems. Due to their strong learning and cognitive ability and good tolerance of uncertainty and imprecision, Soft Computing techniques have found wide application in the area of intelligent control of robotic systems.

Zielgruppe

Research

Autoren/Hrsg.

Katic, D.

Vukobratovic, M.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Mikroprozessoren
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme

Inhaltsverzeichnis

1. Intelligent Control in Contemporary Robotics.- 2. Neural Network Approach in Robotics.- 3. Fuzzy Logic Approach in Robotics.- 4. Genetic Algorithms in Robotics.- 5. Hybrid Intelligent Approaches in Robotics.- 6. Synthesis of Connectionist Control Algorithms for Robot Contact Tasks.- 7. Synthesis of Comprehensive Connectionist Control Algorithms for Contact Tasks.- 8. Examples of Intelligent Techniques for Robotic Applications.- References.- About the Authors.