Robot Control and Calibration

Dr. Xin Luo is a professor with the College of Computer and Information Science, Southwest University. His current research interests include Machine Intelligence, Big Data, and Cloud Computing. He has published over 200 papers (including over 87 IEEE TRANSACTIONS papers, 17 highly cited papers of ESI) in the above areas. His Google Scholar cited is more than 6300, and H-Index is 48. He has 35 authorized national invention patents. He was the Pioneer Hundred Talents Program of Chinese Academy of Sciences in 2016, the Advanced Support of the Pioneer Hundred Talents Program of Chinese Academy of Sciences in 2018, and the National High-Level Talents Special Support Program in 2020. He won the First Prize of Chongqing Natural Science Award (2019, No. 1), the First Prize of Wu Wenjun AI Science and Technology Progress Award (2018, No. 3), and the First Prize of Chongqing Science and Technology Progress Award (2018, No. 2). He serves as an associate editor for the IEEE/CAA Journal of Automatica Sinica and IEEE Transactions on Neural Networks and Learning Systems. He has received the Outstanding Associate Editor Award from IEEE/CAA Journal of Automatica Sinica in 2020. Dr. Zhibin Li is currently studying for the PhD degree in computer science from Chongqing University of Posts and Telecommunications united training by the Chongqing institute of green and intelligent technology, Chinese academy of sciences, Chongqing, China. His research interests include robot calibration, big data analysis and algorithm design for large-scale data applications. He has published over six SCI/EI papers, including top journals and conferences like IEEE TNNLS, JAS, RAL, and TCASII in the computer field. Dr. Long Jin joined the School of Information Science and Engineering, Lanzhou University, as a professor of computer science and engineering. He is currently serving as an editor for the Chinese Association for Artificial Intelligence (CAAI) Transactions on Intelligence Technology. His current research interests include neural networks, robotics, optimization, and intelligent computing. Dr. Shuai Li is an associate professor (Reader) at University of Oulu, Oulu, Finland. His research interests include robot manipulation and impedance control, multi-robot coordination, and articulated robot calibration.

Chapter 1. Introduction.- Chapter 2. A Novel Model Predictive Control Scheme Based on an Improved Newton Algorithm.- Chapter 3. A Novel Recurrent Neural Network for Robot Control.- Chapter 4. A Projected Zeroing Neural Network Model for the Motion Generation and Control.- Chapter 5. A Regularization Ensemble Based on Levenberg–Marquardt Algorithm for Robot Calibration.- Chapter 6. Novel Evolutionary Computing Algorithms for Robot Calibration.- Chapter 7. A Highly Accurate Calibrator Based on a Novel Variable Step-Size Levenberg-Marquardt Algorithm.- Chapter 8. Conclusion and Future Work.