Papers
6
Total Citations
78
H-Index
4
About
Zihao Ding is a leading researcher in intelligent robotics, with a focus on human-robot interaction (HRI), multi-modal perception, and autonomous manipulation. His most impactful work, a 2021 paper on data-driven HRI using off-policy reinforcement learning (51 citations), introduces a novel two-level control design that eliminates the need for velocity measurement, enabling safer and more intuitive collaboration between humans and robots. This contribution has become a foundational reference in the field. Ding further advances robotic intelligence through adaptive visual-tactile fusion recognition (2023, 9 citations), which allows robots to accurately identify and handle multi-material systems—a critical capability for precision manufacturing. His research also spans dynamic speed and separation monitoring using scene semantics (2022), and bionic active sensing for 3D reconstruction in high-precision assembly (2020). With a growing citation record and work appearing in top venues, Ding’s innovations are shaping the next generation of collaborative robots that can perceive, learn, and adapt in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
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- 2Dynamic Speed and Separation Monitoring Based on Scene Semantic Information10 citations · 2022
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- 6ROBOT GRASPING AND MANIPULATION COMBINING VISION AND TOUCH, 181-194.1 citations · 2024