Intelligent Control of Robotic Systems

Intelligent Control of Robotic Systems
Author: Laxmidhar Behera
Publisher: CRC Press
Total Pages: 634
Release: 2020-04-07
Genre: Technology & Engineering
ISBN: 0429944004

This book illustrates basic principles, along with the development of the advanced algorithms, to realize smart robotic systems. It speaks to strategies by which a robot (manipulators, mobile robot, quadrotor) can learn its own kinematics and dynamics from data. In this context, two major issues have been dealt with; namely, stability of the systems and experimental validations. Learning algorithms and techniques as covered in this book easily extend to other robotic systems as well. The book contains MATLAB- based examples and c-codes under robot operating systems (ROS) for experimental validation so that readers can replicate these algorithms in robotics platforms.

Artificial Intelligence And Information-control Systems Of Robots '97 - Proceedings Of The Seventh International Conference

Artificial Intelligence And Information-control Systems Of Robots '97 - Proceedings Of The Seventh International Conference
Author: Ivan Plander
Publisher: World Scientific
Total Pages: 406
Release: 1997-08-12
Genre:
ISBN: 9814545716

AIICSR '97 (Artificial Intelligence and Information-Control Systems of Robots) is one of the most traditional East-West professional meetings devoted to artifical intelligence (AI) and its applications in robots. The themes of the conference are aimed at the issues of AI theory and applications. The conference is devoted to the development and philosophical reflections of AI, and presents the most important topics, such as knowledge discovery and data mining, and study of context. In addition to robots, AI has created softbots — software robots working in a complex information environment. The WWW has become the most exciting application of AI. Further important topics in this volume include formal modelling of reactive systems, development of parallel and distributed computer architectures, declarative programming, agent societies and other fields, from which theoretical results in computer vision and its applications in robotics deserve special attention.

Learning for Adaptive and Reactive Robot Control

Learning for Adaptive and Reactive Robot Control
Author: Aude Billard
Publisher: MIT Press
Total Pages: 425
Release: 2022-02-08
Genre: Technology & Engineering
ISBN: 0262367017

Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.

Intelligent Control of Robotic Systems

Intelligent Control of Robotic Systems
Author: D. Katic
Publisher: Springer Science & Business Media
Total Pages: 308
Release: 2013-03-14
Genre: Technology & Engineering
ISBN: 9401703175

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.

Artificial Intelligence and Information-control Systems of Robots

Artificial Intelligence and Information-control Systems of Robots
Author: Ivan Plander
Publisher: North Holland
Total Pages: 440
Release: 1984
Genre: Computers
ISBN:

Hardbound. The main topic of this volume is computer systems, with attributes of artificial intelligence. Attention is paid to computer systems with untraditional architectures made possible by LSI and VLSI technologies. Papers included in this work cover the following areas: - Theoretical problems of artificial intelligence - Expert systems - Perception and pattern recognition - Robotics - Specialized computer systems for artificial intelligence and robotics.

Intelligent Systems and Control: Principles and Applications

Intelligent Systems and Control: Principles and Applications
Author: Laxmidhar Behera
Publisher: OUP India
Total Pages: 388
Release: 2009-12-24
Genre: Technology & Engineering
ISBN: 9780198063155

Intelligent Systems and Control: Principles and Applications is a textbook for undergraduate level courses on intelligent control, intelligent systems, adaptive control, and non-linear control. The book covers primers in neural networks, fuzzy logic, and non-linear control so that readers can easily follow intelligent control techniques.

Artificial Intelligence in the Pacific Rim

Artificial Intelligence in the Pacific Rim
Author: Hozumi Tanaka
Publisher: IOS Press
Total Pages: 1024
Release: 1991
Genre: Computers
ISBN: 9789051990539

In the last decade, AI firmly settled into our industrial society with the expert systems as the representative product. However, almost every one of the systems could cover only a single task domain. In the highly mechanized world of the 21st century, systems will become smart and user friendly enough to cover a wide range of task domains. Systems with much user friendliness must be multilingual because users in different domains usually have different languages. Language is formed in its own culture. Therefore, promotion for cross-cultural scientific interchange will be indispensable for the progress of AI.