Tianqi Liu

Papers

Total Citations

H-Index

About

Tianqi Liu’s research focuses on the critical intersection of autonomous systems and human safety, with a particular emphasis on developing real-time monitoring frameworks for pedestrian-vehicle interactions. Their most cited work, “Online Monitoring for Safe Pedestrian-Vehicle Interactions” (2020, 21 citations), addresses the challenge of enabling small autonomous vehicles to navigate pedestrian zones safely and fluidly. Liu investigates two fundamental questions: how to effectively monitor dynamic environments and how to ensure safe, free-form maneuvering around humans. This contribution is pivotal for advancing trust in autonomous systems operating in shared spaces. By proposing online monitoring techniques that can adapt to unpredictable human behavior, Liu’s work provides a foundation for safer human-robot coexistence. Their research not only tackles immediate technical hurdles in autonomous navigation but also informs broader discussions on safety-critical system design. With a growing citation impact, Tianqi Liu is establishing themselves as a thoughtful voice in the field of safe autonomy, bridging theoretical monitoring methods with practical, real-world applications that prioritize human well-being.