MinNav: Minimalist Navigation Using Optical Flow For Active Tiny Aerial Robots
Researchers have developed MinNav, a novel navigation system for tiny aerial robots that utilizes optical flow and its uncertainty to navigate complex environments. This system can autonomously fly through scenes with static and dynamic obstacles, as well as unknown gaps, without prior knowledge of the surroundings. MinNav achieves a 70% success rate in real-world experiments and offers comparable performance to depth-based methods with significantly less computational power, making it suitable for onboard tiny aerial robots. AI
IMPACT This research could enable more autonomous and efficient navigation for small drones in complex, unknown environments.