Beichun Qi

Columbia University, Wuhan University of Technology

Papers

Total Citations

H-Index

About

Beichun Qi is a robotics researcher whose work lies at the intersection of adaptive manipulation and industrial automation. His most significant contribution is the development of **AdaGrasp**, a groundbreaking method that learns a single, gripper-aware grasping policy capable of generalizing to novel end-effector tools. This work directly addresses a core challenge in robotics: enabling robots to quickly adapt to a wide variety of grippers without retraining, dramatically improving their versatility and real-world utility. The 2021 version of this paper has garnered **34 citations**, reflecting its impact on the field of robotic manipulation. Earlier in his career, Qi also contributed to manufacturing precision with a trajectory optimization approach for applying thermal barrier coatings to free-form components (2017, 10 citations). By bridging the gap between adaptive grasping and precise industrial processes, Qi’s research is paving the way for more flexible, tool-agnostic robotic systems that can seamlessly transition between tasks in dynamic environments.