Xiaonong Xu
Papers
7
Total Citations
92
H-Index
5
About
Xiaonong Xu is a robotics researcher whose work bridges assistive technology, teleoperation, and human-robot interaction. His most cited paper, “A Walking Assistant Robotic System for the Visually Impaired Based on Computer Vision and Tactile Perception” (30 citations), demonstrates his commitment to developing practical, human-centered robotic aids. Xu has made significant contributions to teleoperation and spatial perception, including a method for building 3D virtual environments from point-cloud registration to overcome time delays in remote robot control, and a novel deployable boom combining rigid and flexible structures for space exploration. His research also advances intuitive human-robot interfaces through egocentric-vision-based hand posture control for reconnaissance robots (25 citations) and robust learning from demonstration using GANs and affine transformations (2024). With over 90 total citations across his published work, Xu’s impact is evident in both assistive robotics and space applications. His work on posture recognition using ensemble classifiers and vote filtering further underscores his expertise in creating reliable, real-world robotic systems that respond intelligently to human input and environmental constraints.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7