Xiangnan Fu
Papers
2
Total Citations
9
H-Index
2
About
Xiangnan Fu is a robotics researcher whose work centers on improving the precision and human-robot interaction of omnidirectional mobile platforms. His primary research areas include adaptive control systems, friction modeling, and walking-intention recognition for assistive robotics. Fu’s most notable contribution is the development of an adaptive sliding mode control method for four-wheeled omnidirectional mobile robots, which directly addresses the significant motion inaccuracies caused by friction between the wheels and ground. This work, published in 2017, has garnered 6 citations and provides a robust solution for enhancing control stability in complex environments. Additionally, Fu has advanced the field of assistive technology by proposing a novel walking-intention recognition method for omnidirectional walking support robots. This research, which improves upon previous forearm-pressure-based control systems, aims to boost the recognition accuracy of user intent, making such robots more intuitive and responsive. With a total of 9 citations across his key works, Fu’s research is laying important groundwork for more precise and user-friendly robotic systems, particularly in rehabilitation and mobility assistance.
Research Focus
Key Achievements
Top Papers
- 1
- 2