Peng Meng

Papers

Total Citations

H-Index

About

Peng Meng is a researcher focused on the intersection of mobile robotics, sensor fusion, and autonomous navigation, with a particular emphasis on indoor environments. His most cited work, "Implementation and research on indoor mobile robot mapping and navigation based on RTAB-Map" (2022, 6 citations), addresses a globally recognized challenge: enabling robots to reliably map and navigate complex indoor spaces. In this study, Meng demonstrated the practical application of the RTAB-Map algorithm for multi-sensor information fusion, successfully achieving mapping and navigation across a 100-square-meter indoor area. This contribution is significant for advancing real-world deployment of autonomous systems in constrained, sensor-rich environments. While his citation count is still growing, his work reflects a hands-on, implementation-driven approach that bridges theoretical algorithms with tangible robotic performance. Meng’s research is particularly relevant for students and engineers working on SLAM (Simultaneous Localization and Mapping) and autonomous navigation systems, offering a clear example of how multi-sensor integration can solve practical mapping challenges. As the field of indoor robotics expands, his contributions provide a foundation for more robust and scalable navigation solutions.