Manli Tao
Papers
1
Total Citations
33
H-Index
1
About
Manli Tao is a leading researcher in human-robot interaction and teleoperation systems, with a focus on enabling intuitive and compliant robot control. Her key contributions center on bridging the gap between human motion and precise robotic manipulation, particularly through gesture-based interfaces. Her most cited work, "A Gesture-Based Teleoperation System for Compliant Robot Motion" (2019, 33 citations), addresses the critical challenge of translating uncertain, low-resolution human gestures into accurate and compliant robot movements. This research has significant implications for applications ranging from assistive robotics to industrial automation, where safe and responsive human-robot collaboration is essential. Tao’s work is recognized for its innovative approach to integrating human intent with robotic compliance, advancing the field of teleoperation. Her contributions are highly regarded by peers and have laid the groundwork for more natural and effective human-robot interaction systems, making her a notable figure in robotics research.
Research Focus
Key Achievements
Top Papers
- 1A Gesture-Based Teleoperation System for Compliant Robot Motion33 citations · 2019