Papers
11
Total Citations
299
H-Index
9
About
Qianfang Liao is a robotics researcher whose work sits at the intersection of teleoperation, human-robot interaction, and intelligent control systems. His research focuses primarily on advancing bilateral and multilateral teleoperation frameworks, mixed-reality interfaces, and fuzzy logic-based control strategies for robotic systems. Among his most notable contributions is a mixed-reality-based teleoperation system that significantly enhances operator telepresence and maneuverability, garnering 93 citations since its publication in 2020. Liao has consistently pushed the boundaries of telerobotics by addressing real-world challenges such as asymmetric master-slave configurations, force compliance, and haptic perception, as demonstrated by his widely cited work on Type-2 fuzzy neural network-based force observers and single-master bimanual teleoperation systems, each attracting 45 citations. His innovative applications of Type-2 fuzzy logic extend into imitation learning and shared autonomy control, reflecting a commitment to making robots more adaptive and user-friendly. More recent work explores Riemannian manifold-based manipulability control and real-time multi-arm coordination, signaling a broadening research vision. With a cumulative citation count exceeding 290, Liao has established himself as a meaningful contributor to intelligent robotic systems research.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Single Master Bimanual Teleoperation System With Efficient Regulation45 citations · 2020
- 4
- 5Type-2 Fuzzy Model-Based Movement Primitives for Imitation Learning21 citations · 2022
- 6Asymmetric Bilateral Telerobotic System With Shared Autonomy Control18 citations · 2020
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- 9
- 10A Fuzzy Cluster-Based Framework for Robot–Environment Collision Reaction5 citations · 2023