Xueying Jin
Papers
3
Total Citations
9
H-Index
2
About
Xueying Jin is a robotics researcher whose work lies at the intersection of aerial and ground robot autonomy, with a particular focus on robust perception and novel mechanical design. Her most cited paper, "Enhancing VIO Robustness Under Sudden Lighting Variation" (2024, 6 citations), tackles a critical safety challenge in UAV localization: the failure of Visual Inertial Odometry under abrupt lighting changes. By integrating a learning-based IMU dead-reckoning module, Jin’s approach ensures reliable flight in visually degraded environments, directly addressing a key vulnerability in real-world drone operations. Beyond perception, Jin explores collaborative multi-robot systems. Her work on "Collaborative Robots Sim" (2021) introduced a simulation environment for air-ground robot teams that emphasizes strong physical interactivity, moving beyond purely information-based coordination. This platform enables more realistic testing of cooperative tasks like manipulation and transport. Demonstrating a flair for bio-inspired engineering, Jin also designed a "Bat Feet-Inspired Gripper" (2024), a metamorphic docking mechanism that uses a tendon-locking structure for rapid robot assembly and disassembly, enhancing ground robot mobility over challenging terrain. Through these contributions, Jin is advancing both the algorithmic robustness and physical versatility of next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
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