Hao Wang
Sun Yat-sen University, Xi'an Jiaotong University, National University of Singapore, Yanshan University, Shandong Academy of Sciences, Aarhus University, Norwegian University of Science and Technology, National Taiwan University, Tianjin University of Technology, Bristol Robotics Laboratory, Xidian University, State Key Laboratory of Mechanical System and Vibration, Xi'an University of Technology, Fujian Agriculture and Forestry University, Beijing Jiaotong University, Stevens Institute of Technology, Robotics Research (United States), Ji Hua Laboratory
Papers
27
Total Citations
599
H-Index
13
About
Hao Wang is a prolific researcher whose work spans robotics, rehabilitation engineering, and human-machine interaction — fields at the intersection of intelligent systems and human well-being. His most celebrated contribution, a 2023 study on hydrogel-based multimodal sensors for rehabilitation (239 citations), demonstrates his ability to bridge materials science and biomedical engineering, producing wearable interfaces that dramatically improve recognition accuracy and user comfort in active rehabilitation contexts. Wang's earlier work on soft pneumatic finger design (2015) and adaptive control of lower limb rehabilitation robots (2018) established him as a foundational voice in assistive robotic systems, while his research on fuzzy neural network path planning reflects a sustained interest in intelligent autonomous navigation. Beyond rehabilitation, Wang has made notable contributions to industrial robotics, including high-order trajectory planning for surface machining, dynamic modeling of collaborative mobile manipulators, and digital twin frameworks for harmonic-drive robot joints — work that collectively supports the advancement of human-robot collaboration in manufacturing. His 2024 review of construction robotics further highlights his breadth, positioning him as a cross-domain thought leader. With cumulative citations exceeding 490 across diverse venues, Wang's research consistently addresses real-world challenges in automation, precision engineering, and human-centered robotic design.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotics in the Construction Sector: Trends, Advances, and Challenges43 citations · 2024
- 3Modeling and design of a soft pneumatic finger for hand rehabilitation38 citations · 2015
- 4
- 5An Advanced Adaptive Control of Lower Limb Rehabilitation Robot31 citations · 2018
- 6Research on Robot Path Planning Based on Fuzzy Neural Network Algorithm25 citations · 2018
- 7
- 8
- 9A Framework for Using Humanoid Robots in the School Learning Environment20 citations · 2021
- 10Automated Tool Coordinate Calibration System of an Industrial Robot18 citations · 2018