2025 2nd International Conference on Robotics and Advanced Manufacturing Technology (RAMT 2025)
Speaker of RAMT 2025
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Keynote Speakers


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Prof. Jian Li

Guangxi University of Science and Technology, China

Experience: Jian Li, Ph.D., Professor, Doctoral Supervisor. Completed undergraduate, master's, and doctoral degrees in Mechanics at Beijing Institute of Technology, followed by postdoctoral research in Aerospace Science and Technology. Recipient of the Guangxi Higher Education Outstanding Talent Support Program, inaugural selection for Guangxi Higher Education Outstanding Young and Middle-aged Key Faculty Development Program, and recipient of the Central Organization Department's “Western Light” Domestic Visiting Scholar Program. He has served as Deputy Director of the Ministry of Education Engineering Research Center for Advanced Design and Manufacturing of Heavy Vehicle Components at Guangxi University of Science and Technology; Deputy Director (in charge) of the Development Planning Office; Dean of the School of Mechanical and Automotive Engineering; and Director of the Academic Affairs Office. He currently holds positions as Standing Committee Member of the University Party Committee, Vice President, and Director of the Ministry of Education Engineering Research Center for Advanced Design and Manufacturing of Heavy Vehicle Components. His long-term research focuses on structural dynamics, fluid-structure interaction dynamics, and mechanisms and control technologies for special-purpose robots. In recent years, he has led two National Natural Science Foundation projects, one Guangxi Innovation-Driven Development Special Project (Major Science and Technology Project), and over ten other provincial/ministerial-level, municipal/departmental-level, and industry-university collaboration projects. As a key contributor, he has participated in more than ten projects including National Natural Science Foundation initiatives, the Chinese People's Liberation Army Navy Equipment “Twelfth Five-Year Plan” Preliminary Research, Civilian Specialized Scientific Research and Technology Projects, China Civil Aerospace Scientific Research Preliminary Studies, and the China Ordnance Group Propellant Special Project. He has published over 60 papers in authoritative domestic and international journals, with more than 40 indexed by SCI and EI. He holds 14 authorized invention patents, 3 software copyrights, and 3 design patents, and has achieved one major achievement transformation.

Title: Design, Control, and Clinical Application of Lower Limb Rehabilitation Robots

Abstract: Rehabilitation using robots is a crucial intervention for individuals with hemiplegia post-stroke. To address the specific requirements of lower limb rehabilitation for patients with mobility impairments, mobile and Horizontal robots tailored to human lower limb kinematics and gait biomechanics were developed. A control strategy combining position control, force feedback, and impedance control was implemented to ensure safety and efficacy during training sessions. A multimodal interaction mechanism was devised for human-robot interaction, integrating a high-sensitivity force/torque sensor for gait intention recognition and training progress monitoring. Additionally, an approach leveraging EEG signals for decoding movement intention was explored to enhance patient engagement and neurorehabilitation outcomes. In collaboration with medical institutions, we conducted multi-center clinical validations to evaluate the system’s performance in motion trajectory tracking, muscle strength improvement, gait coordination, and patient compliance. The findings indicated that these robots effectively address the rehabilitation needs of patients undergoing walking function reconstruction and multimodal training for bedridden individuals, showing promising clinical outcomes and potential for widespread adoption. Future advancements will focus on integrating multi-sensor data fusion and analysis for remote rehabilitation and data-driven intelligent assessment, aiming to create a comprehensive solution for lower limb rehabilitation robots suitable for broad implementation.





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Prof. Lining Sun

Soochow University, China

Experience: Prof. Lining Sun is the National Talent. He is the Distinguished Professor of Soochow University, Dean of the School of Electromechanical Engineering of Soochow University, Doctoral Supervisor, recipient of the National Outstanding Young Persons' Fund, subject matter expert of Robotics in the National Tenth Five-Year Plan 863 Program, expert in the field of Advanced Manufacturing Technology in the National Eleventh Five-Year Plan 863 Program. He is also an expert of the National “Tenth Five-Year Plan” 863 Program on Robotics, the leader of the overall group of MEMS major special project of the National “Tenth Five-Year Plan”, and an expert of the Expert Group of the National “Eleventh Five-Year Plan” on Advanced Manufacturing Technology. Now he is the expert of the overall group of the key scientific and technological special project of service robot of the Ministry of Science and Technology of China, the subject expert of the micro and nano manufacturing technology of the National 12th Five-Year Plan 863, the chairman of the board of directors of Suzhou BOSHI Robotics Company, and the director of the Key Laboratory of Advanced Robotics Technology of Jiangsu Province. He serves as the vice president of Micro-Nano Device and System Technology Branch of China Instrument Society, the executive director of China Society of Micron and Nanotechnology, and the deputy director of Robotics Committee of China Society of Automation and other academic organizations. He is mainly engaged in the research and development of industrial robots and mechatronics equipment, micro and nano-operated robots and equipment, medical and special robots, etc. He has achieved important research results in the research and application of advanced robot mechanism, perception, control, system integration and other cutting-edge and core key technologies. He has presided over and completed more than 20 projects of National 863 Program, 973 Program and National Natural Science Foundation of China. He has won two second-class national science and technology awards and three first-class provincial science and technology awards, published more than 300 academic papers and authorized more than 20 national invention patents.

Title: Embodied AI in Robotics



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Prof. You-Fu Li

City University of Hong Kong, China

Experience: You-Fu Li received the PhD degree in robotics from the Department of Engineering Science, University of Oxford in 1993. From 1993 to 1995 he was a research staff in the Department of Computer Science at the University of Wales, Aberystwyth, UK. He joined City University of Hong Kong in 1995 and is currently professor in the Department of Mechanical Engineering. His research interests include robot sensing, robot vision, and visual tracking. In these areas, he has published over 400 papers including over 200 SCI listed journal papers. Dr Li has received many awards in robot sensing and vision including IEEE Sensors Journal Best Paper Award by IEEE Sensors Council, Second Prize of Natural Science Research Award by the Ministry of Education, 1st Prize of Natural Science Research Award of Hubei Province, 1st Prize of Natural Science Research Award of Zhejiang Province, China.  He was on Top 2% of the world’s most highly cited scientists by Stanford University, 2020- and Career Long. He has served as an Associate Editor for IEEE Transactions on Automation Science and Engineering (T-ASE), Associate Editor and Guest Editor for IEEE  Robotics and Automation Magazine (RAM), and Editor for CEB, IEEE International Conference on Robotics and Automation (ICRA). He is a fellow of IEEE.

Title: 3D visual sensing and tracking for robots

Abstract: Visual sensing and tracking are needed in many engineering applications including robotics. In this talk, I will present our research in visual sensing for automated 3D sensing in general and for motion tracking for robotics in particular. The relevant issues are presented with different approaches in our investigation in 3D vision reported. These include an active vision approach to 3D visual sensing. For robotic applications, visual sensing in 3D is often needed, but the calibration remains tedious and inflexible with traditional approach. To this end, we have investigated the relevant issues for different visual sensing systems. A flexible calibration method desires the vision system parameters to be recalibrated automatically or with less operator interference whenever the configuration of the system is changed, but practically this is often hard to achieve. Various attempts were made in our previous works to enhance the flexibility in the vision calibration. I will present some them including the work on gaze tracking where the issues in the modeling and calibration are addressed with our new calibration method developed.






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Prof. Xingjian Wang

Beihang University, China

Experience: Prof. Xingjian Wang, professor and doctoral director, is currently the deputy dean of the School of Automation Science and Electrical Engineering of Beijing University of Aeronautics and Astronautics (BUAA), a national young talent, and the winner of the Youth Science and Technology Award of the Chinese Aeronautical Society. He received his bachelor's degree and doctoral degree from BUAA in 2006 and 2012 respectively. His main research interests include electromechanical-hydraulic servo systems and control technology, fault diagnosis and fault-tolerant control, fault prediction and health management, bio-mechatronics and bionic robotics, etc. He has presided over more than 30 important scientific research projects such as the National Natural Science Foundation of China (NSFC) and won the Second Prize of National Teaching Achievements, and five scientific and technological awards from provincial and ministerial-level/first-level societies. He has published more than 100 academic papers in IEEE TIE, IEEE TMECH and other important journals and conferences at home and abroad, of which more than 50 are SCI-retrieved, and more than 30 national invention patents have been authorized. He serves as a member, executive deputy director-general and deputy secretary-general of the Aviation Electromechanical Branch of the Aviation Society of China, a member, secretary-general of the Fluid Transmission and Control Branch of the Chinese Society of Mechanical Engineering, and a member of the Intelligent Fluid Control Committee, etc. He is also a member of the Fluid Control Committee of the Chinese Society of Mechanical Engineering.

Title: Electro-Hydraulic Active Ankle Prosthesis and Human-Machine Interaction Control

Abstract: Ankle prostheses are important means to help lower limb amputees walk normally. Their stability and flexibility play a decisive role in human motion coordination. However, current active prostheses have problems such as insufficient battery life, poor interactivity, and the inability to automatically adjust system damping. To address these challenges, research on the energy time-domain configuration of electro-hydraulic active ankle prostheses was carried out, and the optimal design of electro-hydraulic active ankle prostheses was completed. Based on the fusion of multi-source information from biological, mechanical, electrical, and hydraulic systems, human motion state prediction and complex environment perception were achieved through deep learning. An interaction strategy for motion state synchronization was proposed to realize an intelligent human-machine interaction control method, achieving active compliant control of ankle prostheses and reproducing the motion characteristics of natural limbs.



Invited Speakers

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Prof. Teng Zhou

Hainan University, China

Experience: Teng Zhou, Ph.D., Doctoral Supervisor, Professor, Deputy Editor-in-Chief of the Journal of Hainan University (on secondment), and Hainan Province “Outstanding Talent.” Conducting research in the field of multi-physics coupling in micro/nanofluidics: employing arbitrary Lagrangian-Eulerian methods to describe fluid-solid coupling interfaces, analyzing the forces, deformation, and motion of liquid-driven microchips and electrically driven micro-particles, and applying these theories to particle sorting and focusing chip design; Using a continuous medium model, he conducts numerical and experimental studies on flow control and electrofluidic transport phenomena at the micro- and nano-scales; In collaboration with the Institute of Physics and Chemistry of the Chinese Academy of Sciences, he studies nanoelectrofluidics, ion transport, and device design, with research results published in journals such as Energy & Environmental Science, Nature Communications, and National Science Review. Awarded one National Natural Science Foundation of China (NSFC) Young Scientist Fund project and one NSFC General Project. Serves as a Senior Member of the Mechanical Engineering Society, a Senior Member of the Micronano Technology Society, a Young Expert Group Member of the Fluid Control Engineering Professional Committee of the Mechanics Society, a Senior Member of the Biomedical Engineering Society, a Council Member of the Micronano Optical Devices and Systems Branch of the Micronano Technology Society, he is also a member of the editorial board of Optics and Precision Engineering, a member of the editorial board of Machine Tools and Hydraulics, a member of the editorial board of Micromachines, and the deputy director of the Young Editorial Board of the International Journal of Hydromechatronics. He has published over 90 SCI papers, with a Google Scholar H-index of 27. He has received the 10th Hainan Province Youth Science and Technology Award and the Third Prize in Natural Sciences of Hainan Province (Project Title: Research on the Mechanisms of Micro-Scale Fluid and Particle Control, Principal Investigators: Zhou Teng and Shi Liuyong), among others. He has also guided two graduate students to win the Hainan Province Outstanding Master's Thesis Award, among other achievements.

Title: Harnessing South China Sea Resources: Multi-Field Synergistic Strategies and Devices for Salinity Gradient Energy Capture Based on Micro/Nano Fabrication

Abstract: Salinity gradient energy (SGE), as an abundant renewable ocean energy resource with a theoretical power potential of 2.6 TW, holds significant importance for advancing the sustainable development of the marine economy. However, existing technologies face substantial challenges, including pronounced concentration polarization in nanochannel membranes, high costs of two-dimensional (2D) materials, and the difficulty in balancing power density with energy efficiency. To address these challenges, a collaborative research team from Hainan University and the Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, leveraged the specific salinity gradient characteristics at the estuaries of Hainan Island, conducting a comprehensive study spanning fundamental design, composite membrane fabrication, to device assembly. Utilizing the principles of continuum mechanics and the Poisson-Nernst-Planck (PNP) equations, the research systematically elucidated the ion transport dynamics within nanochannels, revealing the correlation mechanism between key channel parameters and the power density of energy capture. Employing core micro/nano-fabrication technologies, high-performance biomimetic nanochannel membranes based on MXene/CMC-Na and GO/sodium alginate composites were successfully fabricated. Experimental validation demonstrated their exceptional ion transport capability, achieving a high power density of 19.39 W/m² under a seawater/river water gradient. Through the innovative coupling of multiple physical fields—the light field (photothermal effect), temperature field (asymmetric temperature gradient), and chemical field (proton diffusion driven by acid-base reactions)—synergistic light-heat-ion co-transport was realized. This approach broke through the energy conversion limits imposed by traditional methods and enabled enhanced efficiency via multi-physics field synergy. Building on this foundation, advanced material integration and device assembly techniques were applied to optimize and construct high-efficiency SGE nanochannel membranes and energy harvesting devices. Starting from the fundamental flow control mechanisms at the micro/nano scale, this study provides a novel composite material system, a precise numerical computational model, and an efficient multi-field synergistic enhancement strategy—collectively offering a pathway to surpass the industrial application power density threshold for SGE (5 W/m²). The research outcomes possess significant practical value for promoting the development and utilization of marine renewable energy in the South China Sea region and the industrial applications of SGE technology. Furthermore, they directly contribute to advancements in precision manufacturing, micro/nano manufacturing, novel sensor materials & manufacturing technologies, as well as sensor and detection technologies.





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Prof. Xiaofeng Feng

Hunan Police Academy, China

Experience: Xiaofeng Feng, Ph.D., professor, currently serves as the Deputy Director of the Traffic Management Department, Hunan Police College. and the Head of the Traffic Management Engineering. Young backbone teacher of Hunan Province, member of the Qualification Evaluation Committee for Deputy Senior Police Technical Positions of Hunan Public Security Organs, member of the Innovation, Entrepreneurship and Employment Guidance Committee for Ordinary Universities in Hunan Province, expert in science and technology project evaluation in Changsha City, senior teacher of the Training Center of Hunan Provincial Public Security Department, and expert in the evaluation of industry university education projects of the Ministry of Education. To research in the fields of road traffic safety, intelligent transportation, and machine vision, with research directions in driver safety driving behavior analysis, driving safety analysis, vehicle active safety technology research, etc. Published papers as the first author in multiple domestic and international journals, including Acta Optica Sinica (a top tier domestic journal) and OPTIK (JCR Zone 2). In recent years, I have led 8 provincial and ministerial level projects, published 1 academic monograph, co-edited 2 textbooks, and been granted 5 invention patents. Served as a reviewer for journals such as Mechanical Science and Technology and Measurement Science and Technology.

Title: The current status and trends of "Vehicle-to-Infrastructure" (V2I) technology