Chi Jie Tan
Papers
2
Total Citations
4
H-Index
1
About
Chi Jie Tan is a robotics researcher focused on environmental conservation, specializing in autonomous systems for beach and ocean cleanup. His work centers on integrating computer vision, sensor fusion, and tracking algorithms to develop intelligent cleaning robots. Tan’s major contributions include pioneering 3D semantic mapping for beach environments using RGB-D cameras and LiDAR sensors, enabling robots to accurately perceive and navigate complex coastal terrains. He also advanced object tracking with the Kalman-YOLO framework, which enhances YOLO’s performance by incorporating Kalman filter predictions for more robust and reliable target tracking in dynamic, debris-strewn settings. Though early in his career, his papers have already garnered citations, reflecting growing interest in his practical solutions to marine pollution. Tan’s research directly addresses the urgent problem of ocean waste—particularly critical for nations like Japan with extensive coastlines—by creating robots that can autonomously detect and collect garbage, reducing harm to marine life and human health. His work represents a meaningful step toward scalable, technology-driven environmental remediation.
Research Focus
Key Achievements
Top Papers
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- 2