With the rapid development of science and technology, the development and innovation in all domains become faster and faster. The field of materials science and intelligent manufacturing have also produced more research directions and new discoveries. Focusing on the latest research results in various aspects of that and other related fields, 2023 International Conference on Materials Science and Intelligent Manufacturing (MSIM 2023) was held via virtual form in Xi’an, China from January 13th to 15th, 2023.Our aim is to establish a forum to exchange and share successful experiences of innovation in the above fields and establish an effective cooperation platform for institutions and industries. Focusing on such topics as Electronic and Magnetic Materials, Ceramic and Glass Materials, Crystal Defect Engineering, Intelligent Mechatronics, Advanced Manufacturing Technology, Integrated Manufacturing System, etc., the Conference invited scientists, engineers, educators and students from all over the world to exchange their current technical application experience and research results, so as to promote the development of related fields.The entire Conference was in an online mode. First is an about 3 hour’s keynote speech and next 2.5 hour’s oral presentation. Discussion and Question and Answer happened went through out the meeting. The professors and delegates presented papers and researches from their own research domains and experiences. We had about 50 participants in the online platform, and had continuous stable internet connection, conducting the virtual conference smoothly.In the Conference, four renowned professors acting as keynote speakers shared their researches with us. Among them, Prof. Xiaofang Yuan from Hunan University, China, whose research domains cover Intelligent Control Theory and Application, Electric Vehicle Control, Robot Drive Control, first made a speech on 3D Map-based Path Planning for Autonomous Vehicles. In the traditional vehicle area, energy-based motion control technology and battery technology are usually employed to solve the energy-saving problem for vehicles. His research proposed a new solution from the perspective of path planning. For vehicles traveling on the complex 3D terrains, the energy consumption of up-slope is far greater than that of the flat road and down-slope. To realize this, a path with a good trade-off between the energy consumption and distance would be the expected route for electric vehicle and mining transportation. A novel multi-objective path planning method was investigated to solve this problem for EV and mining truck, generating an optimal path while saving much energy.We would like to express our gratitude to all the participants for their fruitful work and excellent contribution to MSIM 2023. Especially, we appreciate the enormous work of the editorial board and reviewers in the preparation of this volume. Also, our special thanks and appreciation go to the Journal of Physics: Conference Series. Hopefully, all participants and other interested readers can benefit scientifically from the proceedings and find it rewarding in the process.The Committee of MSIM 2023List of Committee Member is available in the pdf.
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