Papers
1
Total Citations
3
H-Index
1
About
Qi Tong’s research focuses on advancing human-robot collaboration and robotic perception, particularly through the development and refinement of force sensing technologies. A key contribution is their work on numerical compensation methods for tandem force sensors installed at the end of industrial robots. This research addresses a critical challenge: as a robot’s posture changes, so does the sensor’s orientation, introducing errors that can compromise force readings. Tong’s method improves sensor accuracy, enabling robots to more reliably perceive environmental states and human intent—essential for safe, intuitive collaboration and learning from demonstration. Though early in their career, with their most-cited paper accumulating 3 citations, this foundational work has laid important groundwork for enhancing sensor reliability in dynamic robotic systems. Tong’s focus on practical, implementable solutions positions them as a rising contributor to the field of industrial robotics and sensor integration, with potential for significant future impact as human-robot interaction becomes increasingly prevalent in manufacturing and service applications.
Research Focus
Key Achievements
Top Papers
- 1