Chenchang Li
Papers
4
Total Citations
29
H-Index
3
About
Chenchang Li is a rising researcher at the forefront of robotic manipulation and human-robot interaction, with a focus on tactile sensing and deformable object control. Their work bridges the gap between perception and action, enabling robots to handle complex, real-world tasks. Li’s most notable contribution is **DeformNet** (2024, 10 citations), which introduces latent space modeling for deformable object manipulation—a critical challenge in household robotics due to objects’ infinite degrees of freedom. This work offers a robust framework for dynamics prediction and 3D representation, advancing robots’ ability to interact with soft, pliable materials. Additionally, Li pioneered the **Dual-modal Tactile E-skin** (2024, 9 citations), a bidirectional system integrating magnetic tactile sensing with vibratory feedback to foster immersive human-robot interaction. This innovation effectively bridges the sensory gap, allowing robots to both perceive and communicate touch. Li also developed **TacTID** (2024, 8 citations), a high-performance visuo-tactile sensor for terrain identification in legged robots, inspired by animal somatosensory systems to enhance locomotion and balance. With a rapidly growing citation count and a focus on practical, sensor-driven solutions, Chenchang Li is shaping the future of intelligent, touch-aware robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4