Li‐Chuan Tang

National Yang Ming Chiao Tung University

Papers

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About

Li-Chuan Tang is a leading researcher in autonomous robotics, specializing in simultaneous localization and mapping (SLAM) for indoor mobile robots (IMRs). His primary contributions lie in developing Exploration-Based SLAM (e-SLAM), a novel framework that enables robots to autonomously navigate and map unknown indoor environments using only LiDAR sensors. Tang’s seminal 2022 paper, "Exploration-Based SLAM (e-SLAM) for the Indoor Mobile Robot Using Lidar," has garnered 29 citations for its breakthrough approach to allowing IMRs to construct maps from scratch upon entering unexplored floors. Building on this, his 2023 work on "Path Planning and Motion Control of Indoor Mobile Robot under Exploration-Based SLAM (e-SLAM)" (14 citations) advanced the field by integrating path planning from simple floor plans and motion control with minimal sensor input. Tang’s research has significant implications for real-world applications, including search-and-rescue operations, warehouse automation, and domestic service robots. His work is widely recognized for addressing critical challenges in low-cost, sensor-limited robotics, making autonomous indoor navigation more accessible and efficient.