Zhenpeng Ge

University of Electronic Science and Technology of China

Papers

Total Citations

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About

Zhenpeng Ge is a rising researcher in robotics, whose work focuses on advancing the reliability and autonomy of robotic systems, particularly through improvements in the Robot Operating System 2 (ROS 2) and perception for manipulation. His most impactful contribution addresses a critical, often-overlooked bottleneck in modern robotics: the performance of ROS 2’s node composition and executor models. His 2023 paper on this topic, which has already garnered 63 citations, provides a foundational benchmark for understanding how software architecture choices directly affect real-time control and computational efficiency in robotic systems. This work is essential for developers building complex, multi-node robotic applications. Ge also tackles the challenging problem of 6DoF pose estimation for robotic grasping, proposing a novel single-camera, multi-view approach to maintain accuracy even when the gripper occludes the target object. This research directly addresses a key failure point in industrial and service robotics. By bridging the gap between system-level software optimization and robust perception, Zhenpeng Ge’s work is shaping the next generation of more capable and dependable autonomous robots.