Papers
7
Total Citations
85
H-Index
4
About
Mingxin Yu is a pioneering researcher in human-robot interaction (HRI) and soft robotics, with a focus on developing intuitive, accessible control systems and intelligent robotic manipulation. Their early work on gaze-based teleoperation for drones and manipulators (2014) introduced non-intrusive eye-tracking interfaces, enabling hands-free control for users with disabilities—a contribution cited over 50 times. Yu’s later research advanced soft robotics by integrating optical fiber sensors into pneumatic actuators and silicone structures, achieving precise posture measurement and curvature detection (2019, 2018). These innovations address critical challenges in feedback control for deformable robots, with applications in human-safe automation. Notably, their 2024 study on control barrier function (CBF)-based neural controllers for manipulators tackles real-time motion planning in cluttered environments, reducing collision-checking complexity. Yu also contributed to multi-robot assembly via the RoboAssembly simulation environment (2021), using reinforcement learning to generalize furniture assembly policies. With over 80 total citations across these works, Yu’s interdisciplinary approach—bridging gaze-driven HRI, soft sensing, and learning-based control—positions them as a key figure in making robots more adaptable, safe, and accessible for real-world tasks.
Research Focus
Key Achievements
Top Papers
- 1Human-Robot Interaction Based on Gaze Gestures for the Drone Teleoperation39 citations · 2014
- 2Gaze tracking system for teleoperation14 citations · 2014
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- 5Performance evaluation of spherical robot for amphibious applications4 citations · 2019
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