Kai Zhuo

Taiyuan University of Technology, Sungkyunkwan University

Papers

Total Citations

H-Index

About

Kai Zhuo is a pioneering researcher at the intersection of soft robotics, advanced manufacturing, and intelligent manipulation. His work centers on developing bionic electronic skins and autonomous robotic systems capable of handling delicate, deformable objects. Zhuo’s most impactful contribution is his 2021 paper on a fully 3D printed electronic skin, which achieved 32 citations for its breakthrough in creating a bionic, high-resolution, air-permeable porous structure—a critical advance for prosthetics and human-machine interfaces. He has also made significant strides in robotic motion planning, introducing the CMN-RRT* algorithm for obstacle avoidance in robotic arms, and in soft object grasping with his novel VCFN-YOLOv8 framework, which classifies grasping states to prevent slippage or deformation. With over 37 total citations across his key works, Zhuo’s research is shaping the future of autonomous manipulation and sensory feedback systems. His innovative use of additive manufacturing and deep learning positions him as a rising leader in creating robots that can safely interact with the physical world.