Xinxin Zhang

National University of Defense Technology

Papers

Total Citations

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About

Xinxin Zhang is a robotics researcher whose work centers on sensorimotor coordination and autonomous perception, with a particular focus on hand-eye calibration for robotic manipulation. In their most-cited paper, "Active hand-eye calibration via online accuracy-driven next-best-view selection" (2022), Zhang introduced a novel framework that enables robots to autonomously select optimal camera viewpoints during calibration, significantly improving accuracy and efficiency in real-time settings. This contribution addresses a critical bottleneck in robot vision, where precise alignment between a robot’s sensors and actuators is essential for tasks like grasping and assembly. With 14 citations in just a few years, Zhang’s work has quickly gained traction among researchers in robotics and computer vision, demonstrating its practical relevance. By integrating active perception with calibration, Zhang pushes the boundaries of how robots can adapt to their environments without human intervention. Their research is particularly valuable for students and engineers working on autonomous systems, offering a data-driven approach to one of robotics’ foundational challenges. Zhang’s achievements highlight a promising trajectory in advancing intelligent, self-calibrating robotic systems.