Prof. Fuquan Nie, Henan Institute of Science and Technology

FuquanNie, born in 1972, is the Dean of the School of Mechanical and Electrical Engineering at Henan Institute of Science and Technology, a Second-Class Professor, Professor-Level Senior Engineer, and Doctoral Supervisor. He is a Leading Talent of the National Ten Thousand Talents Program, a National Outstanding Engineer, a recipient of the Special Government Allowance of the State Council, and a Class B High-Level Talent in Henan Province. He previously served as Vice President and Deputy Chief Engineer of Weihua Group, and has devoted over thirty years to research and development in intelligent lifting and engineering machinery. He serves as Director of the National-Local Joint Engineering Research Center for Lightweight Lifting Equipment, Director of the Henan Provincial Key Laboratory of Lifting Equipment, and concurrently serves as Vice Chairman of the National Technical Committee for Lifting Machinery Standardization and the Lifting Professional Committee of the Chinese Mechanical Engineering Society. His main research areas include digital control of intelligent lifting equipment, lightweight design, 5G intelligent manufacturing, and ultra-large-tonnage offshore engineering lifting equipment. He has presided over more than 40 national science and technology support programs and provincial major special projects, won more than 90 provincial and ministerial-level science and technology awards, been granted 136 patents and 172 software copyrights, led the formulation of national standards for cranes, published 4 monographs, and authored more than 400 papers. He leads a provincial-level innovation team and works closely with leading equipment manufacturing enterprises. He excels in industry-university-research collaboration for high-end equipment, disciplinary cluster development, and the construction of industry standard systems.

Prof. Hao Li, Zhongyuan University of Technology

Hao Li, Second-Class Professor and Doctoral Supervisor, was selected as a Young Top-notch Talent of the National "Ten Thousand Talents Program." He is a Top 1% Highly Cited Chinese Researcher (2024, 2025) and Head of the "High-end Equipment Digital Twin" Science and Technology Innovation Team of Higher Education Institutions in Henan Province. His main research directions include customized design of complex products, industrial digital twins and AI, and intelligent operation, maintenance, and control of large-scale equipment. He serves as Deputy Director of the Digital Twin Professional Committee of the China Engineering Graphics Society, a member of the Academic Committee of the National Key Laboratory of Intelligent Mining Heavy Equipment, and a member of the Strategic Advisory Committee of the National Key Laboratory of Mass Personalized Customization Systems and Technology, among other positions. He has presided over 6 national-level projects, participated in winning one 2023 National Science and Technology Progress Award (as the 8th contributor), and as the principal investigator won the 2023 Henan Provincial First Prize for Technological Invention, the 2022 First Prize for Machinery Industry Science and Technology Progress, and one First Prize for Undergraduate Higher Education Teaching Achievement of Henan Province.

Title: AI-Driven Next-Generation Industrial Digital Twin System

Abstract: This report proposes an AI-driven next-generation industrial digital twin system (iDTS) architecture, constructs an iDTS system architecture characterized by "AI model-driven, multi-agent collaboration, and virtual-real closed-loop interaction," and clarifies five typical characteristics of the iDTS: human-machine-environment integration, AI model-driven operation, multi-agent collaboration, virtual-real interactive closed loop, and autonomous learning and optimization. The report analyzes three typical application modes of the next-generation industrial digital twin system (generative data collaboration mode, multi-agent collaborative optimization mode, and embedded AI-driven mode) and elaborates six core capability characteristics. It proposes key technologies for the next-generation iDTS system and demonstrates a verification system developed by the research group.

Associate Researcher Honglei Zhou

Zhengzhou Advanced Research Institute, Harbin Institute of Technology, China

Honglei Zhou, male, Han ethnicity, born in 1988, Ph.D. in Engineering, Associate Researcher, Master's Supervisor, and Deputy Director of the Institute of Electromechanical Systems and Intelligent Control, Zhengzhou Advanced Research Institute, Harbin Institute of Technology. His main research interests include fundamental research and functional applications in robotics, flexible/intelligent sensors, piezoelectric ultrasonic transducers, actuators, and energy harvesters. He has published more than 30 papers in internationally renowned journals such as Science Advances, Nature Communications, and Biosensors and Bioelectronics, including 1 ESI Highly Cited and Hot Paper. The cumulative impact factor of his papers exceeds 153.7, and his total citations exceed 1,500. He has applied for 10 national invention patents, 3 of which have been granted. He has led more than 10 projects, including those funded by the National Natural Science Foundation of China, the sub-project of the Young Scientists Project of the National Key R&D Program, the Zhejiang Provincial Natural Science Foundation, the Henan Provincial Natural Science Foundation, the China Postdoctoral Science Foundation, the Zhengzhou Outstanding Young Talent Project, and enterprise-commissioned projects. He is a member of the Acoustical Society of China, a Senior Member of the Acoustic Instrument Professional Committee of the China Instrument and Control Society, and an Expert Member of the Expert Committee of the Optoelectronic Materials and Devices Network. He serves as a reviewer for more than 20 SCI journals, including Journal of Energy Storage and Chemical Engineering Journal.

Title: Robotics and Intelligent Manufacturing Equipment

Abstract: This report presents three independent lines of work in the areas of robotics and intelligent equipment. In the area of additive manufacturing technology and equipment, we developed a large-scale high-temperature extrusion system (forming accuracy of 20 μm, chamber maintained at a constant temperature of 160°C, co-deposition of continuous fibers and PEEK), a multi-axis spatial extrusion and 4D printing platform (≥6 degrees of freedom, printing temperature ≤450°C), a microscale multi-material photopolymerization device (feature accuracy of 10 μm, arbitrary conformal fabrication of three photosensitive materials), and meter-scale high-solid-content ceramic photopolymerization equipment (build chamber of 1 m × 1 m × 0.5 m, integrated forming of Al₂O₃/Si₃N₄/SiC pastes). These efforts establish cross-scale manufacturing capability from microscale multi-material devices to meter-scale special ceramic components, and process verification has been completed in scenarios such as micro/nano satellite cabins and engine ceramic cores. In the area of robotics technology and applications, independent research has been carried out on soft and dexterous manipulation equipment, including a vine-inspired self-growing soft manipulator (hundred-meter-scale continuous extension, more than 70 controllable degrees of freedom), an untethered crawler-inspired morphing platform, a hundred-millisecond biomimetic flexible capture end effector (capture time of 100 ms, locking force of 25 N), and a multi-finger dexterous robotic hand configuration, forming independent technical reserves for unstructured space operations and fine operations in confined spaces. In the area of non-standard mechatronic electronic packaging equipment, we developed 3D integrated intelligent bonding equipment with an alignment accuracy of ±5 μm and stable and controllable coplanar interconnection of flip chips with four or more layers. The packaging cycle is shortened by about 40% compared with traditional processes, providing a dedicated equipment solution for high-density electronic device micro-interconnection production lines. This report presents the team's staged progress in the field of intelligent manufacturing equipment from three dimensions: cross-scale additive manufacturing technology, robotics technology, and electronic packaging technology.

Prof. Shanliang Yao, Wuhan Institute of Technology

Shanliang Yao, Ph.D. in Design Art from Tsinghua University, Postdoctoral Fellow in Arts (Enterprise) at Wuhan University of Technology, Professor, Professor-Level Senior Engineer, and Doctoral Supervisor. He is a talent under Hubei Province's "Chutian Scholar" Program, a Provincial-Ministerial Science and Technology Commissioner appointed by the Guangdong Provincial People's Government, the Ministry of Education, and the Ministry of Science and Technology, a Ningbo "Yongjiang Entrepreneurial Talent," a member of the Shenzhen Design Senior Professional Title Evaluation Committee, an industrial design expert at the International Cooperation Center of the Ministry of Industry and Information Technology, and founder of Yuandao Design and Gewu Design.

He has won more than 20 domestic and international design awards, including Red Dot and iF. He holds 3 U.S. design patents, 7 domestic invention patents, 16 utility model patents, and 33 design patents. He has led or participated in 19 government-funded vertical research projects at various levels. He has carried out more than 200 product development and design, brand planning and design, and system image design projects for more than 100 domestic and international enterprises and institutions.

Title: From Artifact-Making to Contextual Fusion: A Human–Machine Symbiotic Systems Perspective on Intelligent Equipment Design

Abstract: This paper proposes the paradigm shift from "artifact-making" to "context-integration." Artifact-making refers to the traditional design paradigm centered on the product itself, optimizing form and static human-machine dimensions. Context-integration regards humans, intelligent equipment, digital virtual space, real physical working conditions, and organizational workflows as a dynamic symbiotic holistic system and carries out systematic design construction on it.

The report first starts from product design ontology and points out three limitations of the artifact-making paradigm in the intelligent era: the design object expands from the physical interface to a relational system; the design boundary extends from the product shell to the usage ecosystem; and design value expands from technical parameters to trust and meaning. On this basis, the report proposes a four-layer theoretical model of the human-machine symbiosis system view—the physical layer, perception layer, intelligent decision-making layer, and contextual ecology layer—and distills three core design principles: the principle of capability complementarity, the principle of dynamic rights and responsibilities, and the principle of trust and controllability. It then combines cases from four industrial tracks—collaborative robots in manufacturing, remotely operated engineering machinery, surgical robots, and warehouse logistics AGVs—and follows the analytical logic of "artifact-making limitations—context-integration upgrade—symbiotic value" to reveal how context-integration design achieves the leap from single-machine performance optimization to systematic reconstruction of operational contexts.

Finally, the report proposes a six-step implementation path for context-integration design, clarifies the competency requirements for product designers transitioning into "human-machine system context-integration architects," and looks ahead to four major trends: scenario-adaptive systems, deep interdisciplinary integration, moving from the "design of objects" to the "design of rules and systems," and green context-integration.

The report argues that from artifact-making to context-integration is a paradigm transformation that industrial design and product design must complete in the intelligent era.