 Название: Special Robot Technology
Автор: Tongying Guo, Hui Zhang, Lincang Zhu
Издательство: Springer
Год: 2023
Страниц: 272
Язык: английский
Формат: pdf (true), epub
Размер: 34.9 MB
This book focuses on the core technologies of special robots. Both principles and engineering practice have been addressed. This is achieved by providing an in-depth study on several major topics such as the vision positioning of mobile robots, the autonomous motion control of ruin search and rescue robots, and typical applications of text questions and answers robots. The autonomous motion control technologies of ruin search and rescue robots and typical applications of text questions and answers robots are the major features of the book. The book benefits researchers, engineers, senior undergraduate students, and postgraduate students in the fields of visual positioning, path planning, autonomous motion control, and typical applications of special robots.
Industrial robots are multi-joint manipulators or multi-degree-of-freedom robots for industrial applications. Special robots are various kinds of advanced robots other than industrial robots that are used in non-manufacturing industries and serve human beings, including: service robots, underwater robots, entertainment robots, military robots, agricultural robots, medical robots, etc. Among the special robots, some branches are developing rapidly and have a tendency to become independent systems, such as service robots, underwater robots, military robots, micro-operated robots, etc.
This book systematically introduces the basics of special robots, path planning algorithms, and application examples of ruin search and rescue robots and text questions and answers robots. Most of the content covers hot issues of research in the field of robotics in recent years and is an accumulation and summary of the authors’ research results in the field over the years.
Currently, the commonly used path planning methods for mobile robots include artificial potential field method, A* algorithm, neural network, fuzzy inference, genetic algorithm and ant colony algorithm.
The artificial neural network method is a nonlinear dynamical system that simulates human thinking based on the knowledge and understanding of the organization and operation mechanism of the human brain, featuring distributed storage of information, parallel collaborative processing and good self-organizing and self-learning capabilities. It can use environmental obstacles, etc. as the input layer information of the neural network, which is processed in parallel by the neural network, and the output layer of the neural network outputs the desired steering angle and speed, etc., to guide the robot to avoid obstacles and drive until it reaches the destination.
The book is divided into seven chapters. The main contents are the definition and classification of robots, the development status and core technologies of special robots, the main application areas, the drive system, mechanism and sensing technology of robots, the positioning algorithm and path planning algorithm of mobile robots, the system composition and autonomous motion control research of ruin search and rescue robots, and the architecture, key technologies, and typical applications of text questions and answers robots.
This book can be used as a reference book for scientific researchers and engineers engaged in the research and development of special robots and their applications, or as a textbook for graduate students or senior undergraduates in control science and engineering, Computer Science and technology, mechanical and electronic engineering, etc.
Contents:
1. Introduction
2. Drive System and Mechanism of Special Robot
3. Sensing Technology for Special Robots
4. Vision-Based Mobile Robot Positioning Technology
5. Path Planning for Mobile Robots Based on Algorithm Fusion
6. Ruin Search and Rescue Robot
7. Text Questions and Answers Robot
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