2023
ST${2}$: Spatial-Temporal State Transformer for Crowd-Aware Autonomous Navigation
RA-L 2023
Empowering an intelligent agent with the ability of autonomous navigation in complex and dynamic environments is an important and active research topic in embodied artificial intelligence. In this letter, we address this challenging task from the view of exploiting both the spatial and temporal stat