Dual-Agent Reinforcement Learning for Adaptive and Cost-Aware Visual-Inertial Odometry

Feiyang Pan, Shenghe Zheng, Chunyan Yin +1

Visual-Inertial Odometry (VIO) is a critical component for robust ego-motion estimation, enabling foundational capabilities such as autonomous navigation in robotics and real-time…