Papers
2
Total Citations
4
H-Index
1
About
Shangrui Liu is a researcher at the forefront of intelligent transportation and autonomous navigation, with a focus on integrating connected and automated vehicles (CAVs) into future transport systems. His work addresses critical challenges in safe and sustainable mobility, particularly through the design of traffic flow improvements enabled by vehicle automation and connectivity. Liu’s notable contribution includes his involvement in the JRC AUTOTRAC 2020 competition, which explored robotic frameworks to prototype next-generation transport networks, demonstrating how competitive platforms can accelerate innovation in urban and highway mobility. Additionally, his research on deep reinforcement learning (DRL) for mobile robots investigates the impact of sensor noise and latency on navigational safety, providing essential insights for deploying DRL-based planners in real-world logistics and healthcare applications. With over 3 citations on his most-cited paper and a growing portfolio, Liu’s work bridges theoretical advances in robotics and vehicle automation with practical safety considerations, making him a promising voice in the evolution of intelligent transport systems. His contributions are particularly valuable for students and researchers exploring the intersection of AI, robotics, and sustainable infrastructure.
Research Focus
Key Achievements
Top Papers
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- 2