Posts tagged John Yao
Fast and Agile Vision-Based Flight with Teleoperation and Collision Avoidance on a Multirotor

We present a system capable of flying fast and with agility while avoiding obstacles and obeying user commands. Our flying hexarotor robot can be flown as aggressively as a racing drone by an untrained operator while actively avoiding collisions with the surrounding environment.

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Experience-Based Models of Surface Proximal Aerial Robot Flight Performance in Wind

We developed a strategy for an aerial robot to build a map of the wind strength and direction in its operating environment by aggregating its flight experiences into a non-parametric model. By considering this wind map in path planning, the aerial robot is able to move between points with greater safety and energy efficiency.

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