This book introduces readers to the principles and practical applications of intelligent robot system with robot operating system (ROS), pursuing a task-oriented and hands-on approach. Taking the conception, design, implementation, and operation of robot application systems as a typical project, and through "learning-by-doing, practicing-while-learning" approach, it familiarizes readers with ROS-based intelligent robot system design and development step by step.
The topics covered include ROS principles, mobile robot control, Lidar, simultaneous localization and mapping (SLAM), navigation, manipulator control, image recognition, vision calibration, object grasping, vision SALM, etc., with typical practical application tasks throughout the book, which are essential to mastering development methods for intelligent robot system.
Easy to follow and rich in content, the book can be used at colleges and universities as learning material and a teaching reference book for "intelligent robot," "autonomous intelligent system," "robotics principles," and "robot system application development with ROS" in connection with automation, robotics engineering, artificial intelligence (AI), mechatronics, and other related majors. The book can assist in mastering the development and design of robot systems and provide the necessary theoretical and practical references to cultivate robot system development capabilities and can be used as teaching material for engineering training and competitions, or for reference, self-study, and training by engineering and technical personnel, teachers, and anyone who wants to engage in intelligent robot system development and design.
Edition
Language
Place of publication
Illustrations
1 s/w Abbildung
XX, 569 p. 1 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 32 mm
Weight
ISBN-13
978-981-99-1816-4 (9789819918164)
DOI
10.1007/978-981-99-1814-0
Schweitzer Classification
Gang Peng, PhD, has research interests in intelligent robotics and intelligent manufacturing systems, intelligent sensing and control based on sensor fusion, intelligent analysis of industrial big data, AI, and machine learning algorithms. He has long been engaged in teaching, research, and development of intelligent robot control, multi-sensor integration and information fusion, intelligent driving, and human-robot collaborative systems. He has edited and published three Chinese monographs and one Springer English monograph. He has co-edited two Chinese monographs and one English translation. Additionally, as the first author or corresponding author, he has published papers in IEEE Transactions and other international journals in the field of robotics and automation, and has been granted more than 30 patents. Furthermore, he has presided over and completed the product transfer of scientific and technological achievements. He has been awarded the Outstanding Instructor Award of Huazhong University of Science and Technology for national major competitions and science and technology innovation many times and has supervised graduate students who have won provincial and municipal innovation and entrepreneurial talent awards.Tin Lun LAM, PhD, Senior member of IEEE, serves as an assistant professor at Chinese University of Hong Kong (Shenzhen), Executive Deputy Director of the National-local Joint Engineering Laboratory of Robotics and Intelligent Manufacturing, and Director of Research at the Center on Intelligent Robots of Shenzhen Institute of Artificial Intelligence and Robotics for Society. His research focus includes new mobile robots, multi-robot systems, field robotics, soft robotics, and human-robot interaction. He has published two monographs and over 50 papers in top international journals and conferences in the field of robotics and automation and has been granted more than 60 patents. He has received the IEEE/ASME T-MECH Best Paper Award andIROS Best Paper Award on Robot Mechanisms and Design.Chunxu Hu, the founder of the robotics community "Guyuehome," obtained his master's degree from the School of Artificial Intelligence and Automation of Huazhong University of Science and Technology. He focuses on the promotion and application of robot operating system and is an evangelist of the China ROS Foundation. He has been awarded the honorary title of one of the 10 most influential people in ROS in 2019.Yu Yao, PhD, has been teaching, researching, and developing computer operating systems, AI technologies, and machine learning algorithms for many years.Jintao Liu, PhD, the founder of ExBot Robotics Lab, has translated and published more than ten ROS books and is dedicated to the promotion and application of robot operating system.Fan Yang, extramural advisor of graduate student at Tsinghua University, has been dedicated to the research of intelligent robots and intelligent hardware innovation and entrepreneurship. He has completed the marketing of several products, achieving good economic and social benefits. He is one of the editors of China's White Paper on Artificial Intelligence Education, an evangelist of the China ROS Foundation, and a co-founder of the "Spark Project" ROS public classes.
Chapter 1:The Composition of Typical Robot System.- Chapter 2:Connect the Robot to ROS.- Chapter 3:Preliminary Construction of Robot System Model.- Chapter 4:Laser SLAM.- Chapter 5: Autonomous Navigation.- Chapter 6: SLAM Based on Multiple Sensors.- Chapter 7: Robotic Arm Motion Control.- Chapter 8: Machine Vision.- Chapter 9: Object Grasping with Vision-based Robotic Arm.- Chapter 10:Vision-based Mobile Robot.- Chapter 11:Visual SLAM and 3D Reconstruction.
