Lei Chai

University of Science and Technology of China

Papers

Total Citations

H-Index

About

Lei Chai is a researcher whose work lies at the intersection of soft robotics and intelligent automation, with a particular focus on developing adaptive grasping systems. His most cited paper, "An Automatic Grasp System with Sensor Feedback Based on Soft Gripper" (2018, 4 citations), introduces a novel approach to robotic manipulation that addresses a fundamental challenge in the field: enabling robots to handle objects of varying sizes and shapes with both firmness and delicacy. The key innovation of this work is the integration of sensor feedback into a soft gripper system, which allows for real-time adjustments during the grasping process. By defining a structured framework that separates grasp selection from grasp execution, Chai's research provides a practical pathway toward more autonomous and reliable robotic manipulation. This work represents a meaningful contribution to the growing field of soft robotics, where the goal is to create machines that can interact safely and effectively with unstructured environments. Chai's research is particularly relevant for applications in manufacturing, logistics, and assistive robotics, where the ability to handle diverse objects without damage is critical.