Advancements in Mechatronics and Intelligent Robotics

This book gathers selected papers presented at the Fourth International Conference on Mechatronics and Intelligent Robotics (ICMIR 2020), held in Kunming, China, on May 2224, 2020. The proceedings cover new findings in the following areas of research: mechatronics, intelligent mechatronics, robotics and biomimetics; novel and unconventional mechatronic systems; modeling and control of mechatronic systems; elements, structures and mechanisms of micro- and nano-systems; sensors, wireless sensor networks and multi-sensor data fusion; biomedical and rehabilitation engineering, prosthetics and artificial organs; artificial intelligence (AI), neural networks and fuzzy logic in mechatronics and robotics; industrial automation, process control and networked control systems; telerobotics and humancomputer interaction; humanrobot interaction; robotics and artificial intelligence; bio-inspired robotics; control algorithms and control systems; design theories and principles; evolutional robotics; field robotics; force sensors, accelerometers and other measuring devices; healthcare robotics; kinematics and dynamics analysis; manufacturing robotics; mathematical and computational methodologies in robotics; medical robotics; parallel robots and manipulators; robotic cognition and emotion; robotic perception and decisions; sensor integration, fusion and perception; and social robotics.

Presents recent innovative research in the field of mechatronics and intelligent robotics Discusses the outcomes of ICMIR 2020, held in Kunming, China Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext

Prof. Zhengtao Yu, Ph.D., is the dean of the Faculty of Information Engineering and Automation, the director of the Provincial Key Lab of Intelligent Information Processing, and the Chief Professor of KUST innovation team of Intelligent Information Processing. He is graduated from Beijing Institute of Technology with Ph.D. on Computer Application Technologies in 2005. He visited Purdue University as a visiting scholar in 2009. He has over 100 publications in international journals and conferences and holds numerous patents and copyrights. He had won numerous awards including the first prize and the third prize of Yunnan Province Science and Technology Progress Award and the second prize of Yunnan Province Natural Science Award. Prof. Yu is specialized in natural language processing, information retrieval, and information extraction. His research interests include: Chinese corpus and Southeast Asia minority languages corpus construction, linguistic information processing,question-answering system, cross-language information retrieval, multi-lingual machine translation, and cross-language public opinion analysis.

Dr. Srikanta Patnaik is a professor in the Department of Computer Science and Engineering, SOA University, Bhubaneswar, India. He has received his Ph. D. (Engineering) on Computational Intelligence from Jadavpur University, India, in 1999 and supervised 21 Ph. D. theses and more than 50 M. Tech. theses in the area of machine intelligence, soft computing applications, and re-engineering. Dr. Patnaik has published more than 100 research papers in international journals and conference proceedings. He is author of 2 text books and edited 52 books and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc. Dr. Patnaik was Principal Investigator of TAPTEC project "Building Cognition for Intelligent Robot" sponsored by All India Council for Technical Education, New Delhiand Major Research Project "Machine Learning and Perception using Cognition Methods" sponsored by University Grant Commission. He is Editors-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England, and also Editors-in-Chief of Book Series on "Modeling and Optimization in Science and Technology" published from Springer, Germany.

John Wang, Ph.D., works in the Department of Information Management and Business Analytics at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his Ph.D. in operations research from Temple University. Due to his extraordinary contributions, Prof. Wang has been honored with two special range adjustments in 2006 and 2009, respectively. He has published over 100 refereed papers and more than ten books. He has also developed several computer software programs based on his research findings. He is Editor-in-Chief of Int. J. of Information Systems and Supply Chain Management and International Journal of Applied Management Science. Also, he is Editor of Encyclopedia of Business Analytics and Optimization (five-volume), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (six-volume), and Editor of the Encyclopedia of Data Warehousing and Mining, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the synergy of operations research, data mining, and cybernetics.

Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He is an Adjunct Professor of Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD from Jadavpur University in 2015. He has authored/edited more than 90 books with Elsevier, Wiley, CRC Press, and Springer, and published more than 300 papers. He is the Editor-in-Chief of the International *Journal ***of Ambient *Computing ***and Intelligence (IGI Global), Associated Editor of IEEE *Access, and *International Journal *of ***Information **Technology (Springer). He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer), Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier), Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal Processing and Data Analysis (CRC). His main research interests include medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Indian Ambassador of the International Federation for Information Processing-Young ICT Group and Senior member of IEEE

Inhalt
Simulation of Off Wheel Problem of Triangle Tracked Vehicle Based on Recyrdny.- Brief Design Requirements of Screen Printing Stencil.- Review of Improved Collaborative Filtering Recommendation Algorithms.- A Preliminary Study on the Application of Computer Technology in Physical Education.- Design of Archives Management System for Teaching.- An Algorithm for Distinguishing Between Speech and Music.- Research on Multiple Overlapping Speakers Number Recognition Based on X-vector.- Feasibility Analysis of Venture Capital Committee in the Innovative Design of Class Management in Colleges and Universities.- A Survey and Study on Satisfaction and Influencing Factors using Ant Credit Pay via Intelligent Processing.- A Review on Main Optimization Method of ALBERT in Natural Language Processing.- Study on the Influencing Factors of Customer Loyalty in Large Smart Home Furnishing Stores.- Research on Linear Detection Technology for Massive MIMO in Wireless Communications.- Research on Intelligent Reconfiguration and Recognition Technology of Mobile Environment for Substation Operation.