Shanchen Pang

China University of Petroleum, East China, State Key Laboratory of Chemical Engineering

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About

Dr. Shanchen Pang is a rising researcher at the intersection of robotics, artificial intelligence, and intelligent decision systems. Their work primarily focuses on advancing robotic manipulation through innovative grasp pose detection and cross-domain policy adaptation. Dr. Pang's major contributions include developing "GraspFast," a multi-stage lightweight framework for 6-DoF grasp pose detection using RGB-D images, which has garnered 6 citations since 2024, and pioneering cross-domain policy adaptation with dynamics alignment (7 citations in 2023) to enable robots to transfer skills across varying environments. They have also explored the design of decision intelligent systems leveraging enzymatic numerical technology, demonstrating interdisciplinary breadth. With a total of 16 citations across their most-cited works, Dr. Pang's research is gaining traction for its practical impact on efficient, real-time robotic grasping and adaptive learning. Their recent 2025 work on high-performance grasp pose detection via point cloud serialization attention further underscores their commitment to pushing the boundaries of robotic perception and manipulation. Dr. Pang's contributions are particularly valuable for students and researchers interested in bridging simulation and real-world robotics.