Shiwan Lu

National Taipei University of Technology

Papers

Total Citations

H-Index

About

Dr. Shiwan Lu is a robotics researcher specializing in autonomous mobile robot (AMR) localization and real-time mapping systems. Their most cited work, "Real-Time Localization for an AMR Based on RTAB-MAP" (2025, 4 citations), demonstrates a practical integration of the Robot Operating System (ROS Noetic) with RTAB-MAP (Real-Time Appearance-Based Mapping) and RGB-D sensors to achieve robust, real-time spatial awareness. This contribution directly addresses a critical challenge in mobile robotics—enabling AMRs to navigate dynamic environments without pre-existing maps. By combining appearance-based mapping with low-cost depth cameras, Dr. Lu’s approach offers a scalable solution for industrial and service robotics applications. The work’s early citation count reflects its relevance to researchers seeking efficient localization pipelines. Dr. Lu’s expertise bridges theoretical mapping algorithms and hands-on ROS implementation, making their research valuable for both academic labs and industry practitioners developing next-generation autonomous systems. Their focus on real-time performance and sensor fusion positions them as a rising contributor to the field of intelligent robotics.