Qichao Gao

University of Illinois Urbana-Champaign

Papers

2

Total Citations

23

H-Index

2

About

Qichao Gao is a researcher focused on the critical intersection of autonomous systems and human safety, with a primary emphasis on developing robust, real-time monitoring frameworks for human-robot interaction. His most impactful work, "Online Monitoring for Safe Pedestrian-Vehicle Interactions" (2020), which has garnered 21 citations, directly addresses the challenge of deploying autonomous vehicles in unstructured, pedestrian-rich environments. In this foundational study, Gao investigates how small autonomous vehicles can safely and freely maneuver around people, tackling two essential questions: how to effectively monitor dynamic interactions and how to ensure safety without overly conservative constraints. This contribution is vital for the practical deployment of service robots, delivery vehicles, and other autonomous platforms that must operate in close proximity to humans. By advancing online monitoring techniques, Gao’s research provides a pathway toward more trustworthy and socially acceptable autonomous systems. His work is particularly notable for bridging formal safety verification with real-world, free-form navigation, making him a key voice in the growing field of safe human-autonomy interaction.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Online Monitoring for Safe Pedestrian-Vehicle Interactions
21 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Illinois Urbana-Champaign

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago