Yaxiong Wu | Robotics and Automation | Best Researcher Award

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Dr. Yaxiong Wu | Robotics and Automation | Best Researcher Award

Assistant Researcher |  Institute of Automation, Chinese Academy of Sciences | China

Dr. Yaxiong Wu (BRID: 00917.00.90205) is an Assistant Research Fellow at the Institute of Automation, Chinese Academy of Sciences (CAS), affiliated with the State Key Laboratory of Multimodal Artificial Intelligence Systems. He earned both his B.Eng. (2019) and Ph.D. (2024) in Mechanical Engineering from the University of Science and Technology Beijing, demonstrating a consistent academic excellence in robotics and control systems. Following his doctoral studies, he joined CAS as a Postdoctoral Fellow and later advanced to his current role as an Assistant Research Fellow. His professional experience spans across musculoskeletal robotics, biomechanical modeling, intelligent control, and human–machine interaction, with a strong interdisciplinary approach integrating mechanical design, neural control principles, and artificial intelligence. Dr. Wu’s research interests focus on bio-inspired musculoskeletal robotic systems, equilibrium-point control theory, compliant motion learning, and brain–machine fusion technologies, aiming to bridge biological mechanisms with robotic intelligence for humanoid applications. His research skills include advanced control algorithm development, multimodal data fusion, robotic system modeling, reinforcement learning, and experimental validation of human-like motion systems. As Principal Investigator of an NSFC Youth Science Fund Project and participant in several national R&D programs funded by the Ministry of Science and Technology and Ministry of Industry and Information Technology, Dr. Wu contributes to China’s major strategic initiatives in humanoid robotics and intelligent systems. His representative works, published in journals such as IEEE/ASME Transactions on Mechatronics, Neurocomputing, and Robotic Intelligence and Automation, highlight innovative methods for control robustness and morphology learning in tendon-driven robotic arms. He has also co-invented multiple patents on artificial muscle devices and musculoskeletal control systems. Dr. Wu’s excellence has earned him recognition within the robotics research community, reflecting his growing influence and scholarly impact, with 148 citations by , 14 Documents, and an h-index of 6.

Profiles: Google scholar | Scopus | ORCID | ResearchGate

Featured Publications

Qiao, H., Wu, Y., Zhong, S., Yin, P., & Chen, J. (2023). Brain-inspired intelligent robotics: Theoretical analysis and systematic application. Machine Intelligence Research, 20(1), 1–18.Citations: 81

Wu, Y., Chen, J., & Qiao, H. (2021). Anti-interference analysis of bio-inspired musculoskeletal robotic system. Neurocomputing, 436, 114–125.Citations: 31

Chen, J., Wu, Y., Yao, C., & Huang, X. (2024). Robust motion learning for musculoskeletal robots based on a recurrent neural network and muscle synergies. IEEE Transactions on Automation Science and Engineering, 22, 2405–2420.Citations: 18

Chen, J., Wu, Y., & Qiao, H. (2024). Memory, attention, and muscle synergies based reinforcement and transfer learning for musculoskeletal robots under imperfect observation. IEEE/ASME Transactions on Mechatronics.Citations: 14

Fan, Y., Yuan, J., Wu, Y., & Qiao, H. (2023). A feedforward compensation approach for cable-driven musculoskeletal systems. Robotica, 41(4), 1221–1230.Citations: 10

Ahmed Amin | Robotics and Automation | Best Researcher Award

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Dr. Ahmed Amin | Robotics and Automation | Best Researcher Award

Robot to clean greenhouse roofs | College of Engineering, Nanjing Agricultural University | Egypt 

Dr. Ahmed Amin Mohamed Taie is an accomplished researcher in agricultural engineering with a strong focus on agricultural robotics, solar energy applications, and greenhouse technologies. He serves as an Assistant Researcher at the Agricultural Engineering Research Institute (AEnRI), Agricultural Research Center (ARC), Giza, Egypt, where he has worked since 2014. Dr. Taie is currently completing his Ph.D. in Agricultural Engineering (June 2025) at the College of Engineering, Nanjing Agricultural University, China, under the supervision of Prof. Wang Xiaochan through a CSC scholarship. His dissertation, titled “Design and Experiment of a Robot for Cleaning Greenhouse Roofs,” exemplifies his commitment to developing innovative technologies that enhance agricultural productivity and sustainability. He also holds a Master’s degree in Agricultural Mechanization (2019) from Ain Shams University, Egypt, a Diploma in Automotive & Tractors Engineering (2018) from Helwan University, and a B.Sc. in Agricultural Mechanization (2012) from Al-Azhar University, Egypt. His research interests include agricultural robotics, machine vision, solar energy integration, greenhouse automation, agricultural mechanization, and climate change mitigation. Dr. Taie is highly skilled in CAD design (SOLIDWORKS, ANSYS), MATLAB, scientific research writing, and data analysis. He has published several impactful papers in high-quality, Scopus-indexed and IEEE-listed journals such as Journal of Field Robotics, Heliyon, Results in Engineering, and International Journal of Energy Research. His awards and honors include the 2024 Nomination Award for Scientific Research and Innovation Pioneers, Award of Excellence in the “Shen Hao Cup” Graduate Robot Design Competition, and First Prize at the Cairo Innovates Conference by the Academy of Scientific Research & Technology, Egypt. His dedication to advancing agri-tech innovation, mentorship, and sustainability positions him as an emerging leader in the field. 58 Citations | 7 Documents | h-index: 5

Profiles: Google Scholar | Scopus | ORCID  | ResearchGate

Featured Publications

Amin, A., Wang, X., Alroichdi, A., & Ibrahim, A. (2023). Designing and manufacturing a robot for dry-cleaning PV solar panels. International Journal of Energy Research, 2023. Cited by 38.

Amin, A., Wang, X., Guoxiang, S., Shi, Y., Ndumiaassan, J. N., & Okasha, M. (2024). Design and experimentation of a solar-powered robot for cleaning the greenhouse roofs. Results in Engineering, 102602. Cited by 12.

Amin, A., Wang, X., Zhang, Y., Tianhua, L., Chen, Y., Zheng, J., Shi, Y., & Abdelhamid, M. A. (2023). A comprehensive review of applications of robotics and artificial intelligence in agricultural operations. Studies in Informatics and Control, 32(4), 59–70. Cited by 9.

Chen, Y., Wang, X., Zhang, X., Xu, X., Huang, X., Wang, D., & Amin, A. (2024). Spectral-based estimation of chlorophyll content and determination of background interference mechanisms in low-coverage rice. Computers and Electronics in Agriculture, 226, 109442. Cited by 5.

Yang, Z., Amin, A., Zhang, Y., Wang, X., Chen, G., & Abdelhamid, M. A. (2023). Design of a tomato sorting device based on the multisine-FSR composite measurement. Agronomy, 13(7), 1778. Cited by 5.