Ruqi Ding
Papers
6
Total Citations
115
H-Index
4
About
Ruqi Ding is a leading researcher in the field of heavy-duty hydraulic robotic systems, with a focus on human–robot collaboration, shared control, and intelligent manipulation. His work addresses critical challenges in unstructured environments such as rescue response and underwater exploration, where safety and efficiency are paramount. Ding’s most cited paper, “Human–Robot Shared Control Based on Locally Weighted Intent Prediction for a Teleoperated Hydraulic Manipulator System” (2022, 63 citations), introduces a novel shared control framework that enhances operator intent prediction and system responsiveness. He has also made significant contributions to parameter identification for hydraulic manipulators, ensuring physical feasibility and control stability (2023, 28 citations), and to active damping methods for vibration reduction (2019, 10 citations). More recently, Ding developed the Flow Manipulability Polytope (2024, 8 citations), a novel tool for evaluating velocity performance in heavy-duty manipulators, and proposed adaptive virtual fixtures for co-manipulation tasks (2025). His work on compliance motion control for dual-arm manipulators with adaptive mass estimation (2024, 4 citations) further underscores his impact on advancing autonomous and teleoperated robotic systems. With a growing citation record and innovative contributions, Ding is shaping the future of intelligent hydraulic robotics.
Research Focus
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Top Papers
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