Dongli Yuan

Papers

Total Citations

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About

Dongli Yuan is a robotics researcher whose work centers on haptic interfaces and teleoperation systems for aerial robots, particularly vertical take-off and landing (VTOL) platforms. Their key contribution lies in advancing bilateral teleoperation by integrating environmental force reflection into admittance-configured haptic interfaces—a critical innovation for enhancing operator situational awareness and control precision in remote mobile robot tasks. Yuan’s most cited paper, "Environmental Force Reflection In An Admittance Configured Haptic Interface For Teleoperation Of VTOL Aerial Robots" (2017), proposes a novel two-channel system architecture that shifts the feedback point of environmental forces, enabling more intuitive and stable force reflection during teleoperation. This work has garnered 3 citations, reflecting its niche but foundational impact in the field of aerial robotics and human-robot interaction. By addressing the challenge of force feedback in dynamic, unstructured environments, Yuan’s research contributes to safer and more effective remote operation of drones and other VTOL systems—a growing area of interest for applications in search-and-rescue, inspection, and logistics. Their work underscores the importance of haptic feedback in bridging the gap between human operators and autonomous aerial systems.