Bo Shang

Robotics & AI Researcher

My research focuses on reliable multimodal perception and field robotics for transportation and infrastructure. I study how sensor configuration, deployment conditions, and data quality affect perception, and connect these questions to roadside LiDAR-camera sensing and robotic infrastructure inspection.

Since July 2026, I have been a Postdoctoral Associate in Civil and Environmental Engineering and the Maryland Transportation Institute at the University of Maryland, College Park, working under Professor Xianfeng Yang. I support hardware and software development, integration, testing, troubleshooting, data collection, technical documentation, and deliverables for two sponsored transportation research projects. My broader work brings together learning-based perception, ROS-based robotics, edge inference, and inspection workflows developed with public agencies.

Resume & CV

• Research Scientist Resume · PDF — selected research contributions, projects, publications, and technical skills in robotics and multimodal perception.
• Academic CV · PDF — the full record of appointments, publications, patents, teaching, and academic service.

Research focus

• Multimodal perception for transportation safety — roadside LiDAR and camera sensing, object detection, vulnerable road user monitoring, and evaluation across sensor configurations.
• Field robotics for infrastructure inspection — drone and climbing-robot systems, vision-based control, and the integration of sensing, data collection, and robotic platforms.
• Learning from infrastructure sensor data — defect detection and mapping, 3D reconstruction, and inspection workflows that connect perception results to engineering use.

Research notes

• AI Agent Security After 29 Attempts — a source-first postmortem on replay noise, public-leaderboard overfitting, counterbalanced experiments, and the private-guardrail reset.

Selected publications

Selected work in roadside-LiDAR sensing, vulnerable-road-user safety, and robotic infrastructure inspection.