Yanfang Liu

Harbin University of Science and Technology, Harbin Institute of Technology

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About

Yanfang Liu is a researcher whose work spans two distinct frontiers: environmental economics and intelligent robotics. In environmental science, Liu’s highly cited 2023 study, “Impact of industrial robots on environmental pollution: evidence from China” (25 citations), provides critical empirical evidence on how automation influences industrial emissions, including wastewater, SO₂, and soot. This work positions Liu as a key voice in understanding the environmental consequences of technological adoption. Simultaneously, Liu has made significant contributions to space and dual-arm robotics. A 2019 paper on “Learning to Control a Free-floating Space Robot using Deep Reinforcement Learning” (18 citations) introduces a model-free controller that enables space robots to capture targets without requiring complex kinematic or dynamic equations—a breakthrough for autonomous space operations. Another 2019 study on “Coordinated Motion Planning of Dual-arm Space Robot with Deep Reinforcement Learning” (9 citations) advances cooperative manipulation using RRT-based planning. Liu’s work demonstrates a rare ability to bridge macro-level environmental policy analysis with cutting-edge, data-efficient robot learning, including Gaussian process methods. This dual expertise makes Liu a distinctive researcher whose insights are valuable for students and scholars interested in both sustainable automation and autonomous systems.