AION: Aerial Indoor Object-Goal Navigation Using Dual-Policy Reinforcement Learning
Zichen Yan, Yuchen Hou, Shenao Wang, and 3 more authors
arXiv preprint, 2026
We present AION, a zero-shot aerial indoor object-goal navigation system using dual-policy reinforcement learning. The system autonomously switches between exploration and target-driven navigation modes based on target visibility, leveraging RGB-D sensor input and CLIP-based multimodal features. The navigation policy is trained from scratch to master a discrete action space including take-off, navigation, and landing, and is deployed on autonomous drones using ROS 2 for real-time control.