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About

Pengcheng Xia is a robotics researcher whose work spans space robotics, agricultural automation, and intelligent manufacturing systems. His most recognized contributions lie in the domain of space robotic manipulation, particularly in post-capture compliant control — the challenge of safely stabilizing and maneuvering tumbling orbital targets without damaging them. His 2018 paper on constrained compliant control (10 citations) and a subsequent 2020 study on adaptive compliant controllers (5 citations) address the critical problem of managing uncertain inertial parameters and excessive contact forces during space debris capture, advancing the safety and reliability of on-orbit servicing missions. Beyond space robotics, Xia has expanded his research into agricultural robotics and smart manufacturing, developing a humanoid field-phenotyping robot for automated rice tiller counting, semantic segmentation models for orchard harvesting robots, and modular robotic systems for unmanned plant factories. His 2025 work applying physics-informed neural networks to industrial robot degradation assessment (7 citations) reflects a growing interest in AI-driven diagnostics for flexible manufacturing. Collectively, Xia's interdisciplinary portfolio demonstrates a consistent commitment to advancing autonomous robotic systems across high-stakes environments, from outer space to precision agriculture.