Juan Lin

Papers

Total Citations

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About

Juan Lin is a robotics researcher whose work centers on simultaneous localization and mapping (SLAM) for intelligent autonomous systems. His most-cited paper, "Research on SLAM Intelligent Robot Based on Visual Laser Fusion" (2024), presents a novel integration of lidar and depth camera data within a ROS-based framework, using a Raspberry Pi and STM32 for motion control. This design enables robots to self-localize and build maps in unknown environments—a critical capability for autonomous navigation. While his citation count is still growing, Lin's contribution lies in the practical fusion of visual and laser sensors, addressing a key challenge in real-world SLAM: balancing accuracy with computational efficiency on embedded platforms. His work is particularly relevant for students and researchers developing low-cost, scalable robotic systems. By combining hardware-level control with sensor fusion algorithms, Lin advances the frontier of intelligent robotics, offering a blueprint for more robust and adaptable autonomous agents.