Renning Pang

Papers

Total Citations

H-Index

About

Renning Pang is a researcher at the forefront of intelligent robotics and edge AI, with a focus on integrating multi-sensor fusion and machine vision for real-world industrial applications. Their most-cited work, "Transportation robot based on multi-sensor fusion and machine vision" (2022), addresses the critical challenge of deploying artificial intelligence at the edge, leveraging advancements in 5G and IoT technologies to enable autonomous navigation and object recognition in dynamic environments. This contribution has garnered 2 citations, reflecting its relevance to the growing field of edge computing and robotics. Pang’s research bridges the gap between theoretical AI algorithms and practical deployment, particularly in transportation and logistics scenarios where real-time decision-making is essential. By combining vision sensing with multi-sensor data, they have advanced the reliability of autonomous systems in industrial settings. Their work is especially notable for its emphasis on low-latency, high-efficiency solutions that align with the demands of modern smart factories and automated supply chains. As a researcher, Pang continues to explore how edge-based intelligence can transform robotics, making their contributions a valuable resource for students and engineers interested in the intersection of AI, IoT, and autonomous systems.