Zheng Wen

Papers

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About

Zheng Wen is a researcher specializing in robotics, space systems, and remote operation technologies, with particular expertise in hand-eye calibration, teleoperation, and latency compensation. His foundational work on on-orbit hand-eye calibration, his most-cited contribution with 8 citations, introduced an innovative method for determining the precise position and orientation of wrist-mounted cameras on space robot arms using cooperative targets — a critical advancement for autonomous space manipulation tasks. Building on his robotics expertise, Wen has more recently turned his attention to the challenges of remote robot control, developing a predictive platform leveraging Long Short-Term Memory (LSTM) networks to effectively reduce transmission latency to near-zero levels in teleoperation systems, earning 6 citations since its 2023 publication. His 2024 work extends this theme into remote video monitoring, applying video prediction techniques to compensate for the unavoidable communication delays inherent in networked systems. Collectively, Wen's research addresses real-world engineering challenges at the intersection of space robotics and intelligent remote systems, offering practical solutions that improve the safety, efficiency, and reliability of both space-based and terrestrial robotic operations.