4 papers
Exploring the Generalizability of Geomagnetic Navigation: A Deep Reinforcement Learning approach with Policy Distillation
Wenqi Bai, Shiliang Zhang, Xiaohui Zhang +4
The advancement in autonomous vehicles has empowered navigation and exploration in unknown environments. Geomagnetic navigation for autonomous vehicles has drawn increasing attenti…
Ensemble Control for Stochastic Systems with Asymmetric Laplace Noises
Yajie Yu, Xuehui Ma, Shiliang Zhang +4
This paper presents an adaptive ensemble control for stochastic systems subject to asymmetric noises and outliers. Asymmetric noises skew system observations, and outliers with lar…
Long-distance Geomagnetic Navigation in GNSS-denied Environments with Deep Reinforcement Learning
Wenqi Bai, Xiaohui Zhang, Shiliang Zhang +3
Geomagnetic navigation has drawn increasing attention with its capacity in navigating through complex environments and its independence from external navigation services like globa…
A Bionic Data-driven Approach for Long-distance Underwater Navigation with Anomaly Resistance
Songnan Yang, Xiaohui Zhang, Shiliang Zhang +4
Various animals exhibit accurate navigation using environment cues. The Earth's magnetic field has been proved a reliable information source in long-distance fauna migration. Inspi…