Cunfeng Li
Papers
2
Total Citations
78
H-Index
2
About
Cunfeng Li is a researcher in soft robotics and intelligent manipulation, with a focus on integrating actuation and sensing for adaptive grasping. His most impactful work, "Size recognition and adaptive grasping using an integration of actuating and sensing soft pneumatic gripper" (2018, 71 citations), introduces a novel soft gripper that combines pneumatic actuation with embedded sensing to autonomously recognize object size and adjust grip force accordingly. This contribution addresses a key challenge in soft robotics—enabling delicate yet adaptive handling of varied objects without external sensors. Li also explored motion planning for service robots in his 2017 paper on ROS-based systems, proposing a modular architecture that integrates planning, function, and visualization modules to enhance autonomous navigation. His work bridges soft gripper design with practical robotic applications, offering solutions for industries requiring gentle, adaptive manipulation. With growing citation impact, Li’s research is shaping the development of safer, more versatile robotic hands for service and manufacturing contexts.
Research Focus
Key Achievements
Top Papers
- 1
- 2Research on Motion Planning System of Service Robot Based on ROS7 citations · 2017