Junlin Shang

Papers

Total Citations

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About

Junlin Shang is a researcher focused on intelligent navigation and autonomous systems, with a particular emphasis on logistics and robotic mapping technologies. His most-cited work, "An Intelligent Logistics Navigation Device Based on SLAM Dual Radar" (2021), introduces a novel mapping and navigation algorithm for dual lidar systems operating under the ROS platform. This paper designs an autonomous navigation device that integrates SLAM lidar, inertial odometry, and wheel odometry, using dual radar as the primary distance sensor to capture comprehensive spatial information. Although his citation count is currently modest at 2, Shang’s contribution lies in advancing practical, low-cost solutions for logistics automation—a field with growing industrial relevance. His work addresses key challenges in real-time environment perception and navigation accuracy, offering a foundation for future developments in warehouse robotics and autonomous guided vehicles. By combining multiple sensor modalities, Shang’s research demonstrates a systems-level approach to improving navigation reliability in complex indoor environments. This work is particularly notable for its potential to enhance efficiency in logistics operations, making it a valuable reference for engineers and researchers exploring SLAM-based autonomous navigation.