Zirong Tang

Papers

Total Citations

H-Index

About

Zirong Tang is a robotics researcher whose work centers on autonomous navigation, sensor fusion, and human-robot interaction for emergency response systems. Their most notable contribution is the development of the "Ambubot," a semi-autonomous ambulance robot designed to reduce critical response times during sudden cardiac arrest events. By implementing an Extended Kalman Filter (EKF) for robust indoor localization, Tang’s 2024 paper on this system has already garnered 5 citations, highlighting its early impact in the field. This work addresses a pressing real-world challenge: enabling lay rescuers to quickly locate Automated External Defibrillators (AEDs) through robotic assistance. Tang’s research bridges the gap between advanced estimation algorithms and practical deployment in time-sensitive medical emergencies. Their achievements demonstrate a commitment to applying robotics to save lives, making their work particularly relevant for students and researchers interested in assistive robotics, sensor integration, and the intersection of AI with healthcare. With a focus on tangible outcomes, Tang continues to push the boundaries of how autonomous systems can augment human capabilities in critical scenarios.