Qiyang Gan
Papers
1
Total Citations
32
H-Index
1
About
Qiyang Gan is at the forefront of advancing robotic perception through tactile sensory innovation. His research centers on intelligent tactile systems, robotic manipulation, and multimodal sensing—bridging the gap between how humans naturally interact with objects and how machines can replicate that dexterity. His most cited work, "A Multifunctional Tactile Sensory System for Robotic Intelligent Identification and Manipulation Perception" (2024), has already garnered 32 citations, reflecting its immediate impact on the field. In this study, Gan addresses a critical limitation in current robotics: the inability to sense the multidimensional force features—such as pressure, shear, and texture—that humans rely on during object manipulation. By developing a sensor that captures these complex interaction states, his work enables robots to identify objects and adjust their grip in real time, moving beyond simple binary touch detection. This contribution has significant implications for prosthetics, industrial automation, and human-robot collaboration. Gan’s research is shaping a future where robots can handle delicate or irregular objects with human-like sensitivity, marking him as a rising leader in tactile sensing and intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1