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About

Rundong Ge is a leading researcher in aerial robotics and multi-robot perception, with a focus on enabling autonomous Micro Aerial Vehicles (MAVs) to operate in complex, real-world environments. His major contributions lie at the intersection of cooperative manipulation, visual-inertial sensing, and real-time perception. Ge’s most influential work, "Cooperative Transportation of Cable Suspended Payloads With MAVs Using Monocular Vision and Inertial Sensing" (78 citations), pioneers a framework for teams of drones to collaboratively transport slung loads, a critical capability for commercial delivery and emergency logistics. He further advances multi-agent coordination with his work on vision-based relative detection and tracking (14 citations), solving the challenge of unique identification and perception consensus among aerial teams. Ge has also made notable strides in object-level perception with VIPose (11 citations), a real-time visual-inertial 6D pose tracker for robotics and augmented reality, and in efficient scene understanding with FENet, a fast semantic edge detection network. His research is distinguished by its practical, systems-level approach, bridging robust perception with reliable multi-robot control. With a growing citation record and contributions that directly address real-world deployment challenges, Ge is establishing himself as a key innovator in the future of autonomous aerial systems.