Xiaoming Li
Papers
2
Total Citations
5
H-Index
2
About
Xiaoming Li is a robotics and control systems researcher whose work bridges neural network applications and teleoperation technologies. His primary research areas include image segmentation for robotic systems, bilateral teleoperation control, and force feedback mechanisms under uncertain conditions. Li's most notable contribution is the development of a BP neural network-based image segmentation technique for small-sized league (SSL) soccer robot teams, addressing critical challenges in real-time processing and environmental light adaptation. This work, published in 2011, has garnered 3 citations and demonstrates his innovative approach to integrating artificial intelligence with autonomous robotics. Additionally, Li has made significant strides in internet-based teleoperation systems, proposing a bilateral control model with force reflection that ensures stability through event-based control coordination despite time delays. His 2007 paper on this topic, with 2 citations, provides a foundational framework for managing uncertain communication latencies in remote robotic control. Li's research is particularly valuable for applications requiring precise, real-time robotic coordination and remote manipulation, making his work relevant to advancing autonomous systems and human-robot interaction technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2