Jia Zeng
Papers
2
Total Citations
10
H-Index
2
About
Jia Zeng is a pioneering researcher in robotic manipulation and tactile sensing, whose work bridges the gap between perception and physical interaction. His key research areas include visuomotor control, tactile sensing assessment, and closed-loop robotic systems. In his highly cited 2024 paper, "Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation," Zeng introduced a novel framework that integrates generative models with real-time visual feedback, enabling robots to adaptively grasp and manipulate objects with unprecedented precision—a contribution that has already garnered 6 citations in its first year. His 2023 work, "Granularity-Dependent Roughness Metric for Tactile Sensing Assessment," tackles the longstanding challenge of quantifying tactile sensation across diverse materials. By proposing a unified roughness metric based on granularity—inspired by sandpaper standards—Zeng provided a practical tool for evaluating surface properties like hardness and texture, earning 4 citations. This innovative approach has significant implications for prosthetics and industrial robotics. With a growing citation impact and a focus on making robots more intuitive and responsive, Jia Zeng is shaping the future of embodied intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2Granularity-Dependent Roughness Metric for Tactile Sensing Assessment4 citations · 2023