Anna Dai

Papers

Total Citations

133

H-Index

About

Dr. Anna Dai is a leading researcher in autonomous robotics, with a primary focus on aerial exploration, motion planning, and information-driven navigation for Micro Aerial Vehicles (MAVs). Her most impactful contribution is the development of a fast, frontier-based exploration strategy that enables MAVs to autonomously navigate and map unknown environments while minimizing collision risk. Her seminal 2020 paper on this topic has garnered over 133 citations, reflecting its influence on the field of robotic exploration. By integrating information theory with frontier detection, Dr. Dai’s work significantly reduces map entropy and improves the efficiency of autonomous decision-making in real-time. Her research is foundational for applications in search-and-rescue, environmental monitoring, and industrial inspection. Dr. Dai is recognized for bridging theoretical planning algorithms with practical, onboard implementation, advancing the state of the art in lightweight, autonomous aerial systems.