Assoc Prof Dr.Zhongtao Fu |Robotics | Best Researcher Award

Assoc Prof Dr, Zhongtao Fu,Wuhan Institute of Technology, China.

Assoc. Prof. Dr. Zhongtao Fu is an Associate Professor at the Wuhan Institute of Technology, China. His research focuses on material science and engineering, with a strong emphasis on advanced manufacturing technologies, materials processing, and mechanical properties. Dr. Fu has published numerous papers in leading international journals, contributing significantly to the development of innovative materials and technologies. He is recognized for his work in promoting cutting-edge research and collaboration in the field of materials science, both domestically and internationally. Dr. Fu also plays a key role in mentoring students and fostering academic growth.

Summary:

Dr. Zhongtao Fu is a highly accomplished researcher specializing in robotics, with notable achievements in both academic research and industrial applications. His expertise in robot control systems, human-robot interaction, and multi-modal perception, combined with his successful project funding and global collaboration, make him a strong contender for the Research for Best Researcher Award. His contributions to robotics, particularly in manufacturing and healthcare, align with global technological advancements

Professional Profiles:

Scopus

🎓 Education :

Dr. Zhongtao Fu earned his Ph.D. in Mechanical Engineering from Huazhong University of Science and Technology, China, in March 2016. He also holds a Bachelor of Science degree in Mechanical Engineering from Henan University of Science and Technology, completed in July 2010. His academic foundation in mechanical engineering laid the groundwork for his future research in robotics, control systems, and advanced manufacturing techniques.

🏢 Experience:

Since June 2016, Dr. Fu has served as an Associate Professor at the Wuhan Institute of Technology in China. He also worked as a Senior Engineer at Wuhan Cobot Technology Ltd. from June 2016 to December 2018, where he contributed to the development of robotics systems. Between December 2018 and December 2020, he expanded his research through international collaboration as a Visiting Research Fellow at the Core of King’s College London, UK. His research has focused on advancing robotic systems in both theoretical and practical applications, particularly in manufacturing and healthcare.

🛠️Skills:

Dr. Fu possesses extensive expertise in robot manipulation and control, particularly in human-robot interaction, robotic hands, signal processing, and optimal control strategies. He is proficient in several programming languages, including C++, MATLAB, and Python. In addition to his programming skills, he has hands-on experience with a variety of industrial robots, such as KUKA LWR, iiwa, Yaskawa, UR, Barrett Hand, Sawyer, and Denso. His knowledge also extends to key robotics software such as ROS, OpenRAVE, and RoboDK. Furthermore, he has taught courses in Robotics, Matrix Manifold, Optimal Control, Lie Algebra, and Model Predictive Control.

Research Focus :

Dr. Fu’s primary research interests lie in the theory and applications of robotics, particularly in the fields of manufacturing and healthcare. His work encompasses robot kinematics and dynamics, robot-robot and human-robot collaboration, as well as multi-modal perception. He is driven by the goal of discovering connections between advanced algorithms and the resulting product quality. By optimizing control systems, he seeks to enable robots to perform tasks with a high degree of flexibility and precision, making them more efficient in complex environments.

🔬Awards:

Dr. Fu’s achievements in robotics were recognized when his team, Dorabot & Cobot, secured second place in the prestigious IROS Competition on Grasping and Manipulation in 2016. This accolade highlights his commitment to advancing robotic systems and his ability to collaborate effectively in competitive research environments.

Conclusion:

Dr. Zhongtao Fu’s work in robotics showcases his strength in both theoretical advancements and practical implementations, making him a strong candidate for the award. Enhancing his publication record and expanding his leadership roles in international research collaborations would further cement his status as an elite researcher. Overall, his well-rounded academic, industrial, and international experience positions him well for recognition as the Best Researcher.

Publications :

Joint torque prediction of industrial robots based on PSO-LSTM deep learning
- Authors: Xiao, W., Fu, Z., Wang, S., Chen, X.
- Journal: Industrial Robot
- Year: 2024
- Volume/Issue: 51(3)
- Pages: 501–510
- Citations: 1

IHUVS: Infinite Homography-Based Uncalibrated Methodology for Robotic Visual Servoing
- Authors: Lei, X., Fu, Z., Spyrakos-Papastavridis, E., Li, M., Chen, X.
- Journal: IEEE Transactions on Industrial Electronics
- Year: 2024
- Volume/Issue: 71(4)
- Pages: 3822–3831
- Citations: 1

FEUSNet: Fourier Embedded U-Shaped Network for Image Denoising
- Authors: Li, X., Han, J., Yuan, Q., Zou, M., Huang, Z.
- Journal: Entropy
- Year: 2023
- Volume/Issue: 25(10)
- Article Number: 1418
- Citations: 2

Auto-identification of dominant modal parameters from multi-batch signals based on weighted SSA to suppress milling vibration
- Authors: Peng, Y., Chen, X., Jiang, X., Huang, K., Fu, Z.
- Journal: International Journal of Advanced Manufacturing Technology
- Year: 2023
- Volume/Issue: 128(9-10)
- Pages: 4077–4090
- Citations: 0

Toward Simultaneous Coordinate Calibrations of AX=YB Problem by the LMI-SDP Optimization
- Authors: Pan, J., Fu, Z., Yue, H., Li, M., Chen, X.
- Journal: IEEE Transactions on Automation Science and Engineering
- Year: 2023
- Volume/Issue: 20(4)
- Pages: 2445–2453
- Citations: 9

Dynamic modeling and analysis on lateral vibration of ball screw feed system
- Authors: Gao, X., Zhang, X., Yang, J., Wang, M., Zan, T.
- Journal: International Journal of Advanced Manufacturing Technology
- Year: 2023
- Volume/Issue: 124(11-12)
- Pages: 4211–4229
- Citations: 6

Towards Accurate Solution of Robot Hand-eye Relationship Based on the LMI-SDP Optimization | 基于 LMI-SDP 优化的机器人手眼关系精确求解
- Authors: Fu, Z., Rao, S., Pan, J., Huang, T., Chen, X.
- Journal: Jixie Gongcheng Xuebao/Journal of Mechanical Engineering
- Year: 2023
- Volume/Issue: 59(17)
- Pages: 109–115
- Citations: 0

A Novel Tactile Palm for Robotic Object Manipulation
- Authors: Zhao, F., Huang, B., Li, M., Lei, Z., Li, M.
- Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics)
- Year: 2023
- Volume: 14271 LNAI
- Pages: 81–92
- Citations: 0

Fast Calibration for Ultrasound Imaging Guidance Based on Depth Camera
- Authors: Zhao, F., Li, M., Fu, Z., Li, M.
- Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics)
- Year: 2023
- Volume: 14269 LNAI
- Pages: 68–79
- Citations: 0

Homography matrix based trajectory planning method for robot uncalibrated visual servoing
- Authors: Fu, Z., Lei, X., Chen, X., Li, M., Huang, T.
- Conference: 2023 IEEE International Conference on Real-Time Computing and Robotics (RCAR)
- Year: 2023
- Pages: 32–37
- Citations: 0

Zhongtao Fu |Robotics | Best Researcher Award