Papers
103
Total Citations
2,645
H-Index
23
About
Youfu Li is a distinguished researcher whose work spans robotics, computer vision, and human-computer interaction, with particular expertise in active vision systems, sensor technologies, and intelligent perception for robotic applications. His landmark 2011 survey on active vision in robotic systems, amassing over 400 citations, established him as a leading authority in the field, comprehensively mapping 15 years of development in robotic automation and visual intelligence. His foundational contributions to automatic sensor placement and active sensor planning for multi-view vision tasks have shaped how robotic systems strategically acquire visual information from complex environments. Li's more recent work demonstrates a compelling evolution toward deep learning-driven perception, including highly influential research on head pose estimation using asymmetric relation-aware representation learning (283 citations) and transformer-based facial expression recognition, both with direct industrial human-robot interaction applications. His innovations in infrared spectral imaging enhancement further reflect his commitment to practical industrial sensing solutions. Beyond vision, Li has contributed meaningfully to force/torque sensor dynamics and rehabilitation robotics, developing multi-mode systems that interpret human motion intention. With a citation portfolio exceeding 1,700 across his top works, Li's research consistently bridges foundational theory and real-world robotic implementation, making him an essential reference for students and practitioners in intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1Active vision in robotic systems: A survey of recent developments403 citations · 2011
- 2
- 3Automatic Sensor Placement for Model-Based Robot Vision185 citations · 2004
- 4
- 5
- 6
- 7
- 8Active Sensor Planning for Multiview Vision Tasks88 citations · 2008
- 9On the dynamic behavior of a force/torque sensor for robots78 citations · 1998
- 10