Shi-Peng Chen
Papers
1
Total Citations
3
H-Index
1
About
Shi-Peng Chen is a robotics researcher specializing in autonomous navigation and sensor fusion, with a focus on improving localization accuracy for outdoor mobile systems. His most-cited work, "Outdoor Positioning Based on ROS LiDAR Navigation Compared with RTK GPS Accuracy" (2023, 3 citations), makes a significant contribution by benchmarking the ROS 1 framework’s 2D LiDAR-based SLAM algorithms—specifically gmapping (Grid-based FastSLAM) and adaptive Monte Carlo localization (AMCL)—against high-precision RTK GPS. This study provides critical insights into the trade-offs between cost-effective LiDAR navigation and centimeter-level GPS accuracy, offering practical guidance for deploying autonomous robots in GPS-denied or challenging outdoor environments. By systematically evaluating particle filtering methods for map building and real-time pose estimation, Chen’s work advances the reliability of low-cost navigation systems, with implications for agricultural robotics, field surveying, and autonomous logistics. His research bridges the gap between theoretical SLAM algorithms and real-world deployment, establishing a benchmark that helps engineers and researchers optimize sensor configurations for outdoor autonomy.
Research Focus
Key Achievements
Top Papers
- 1