Abstract: Tracking moving targets is fundamental task in many applications of uncrewed aerial vehicles (UAVs). In practice, the visual information is hard to be processed in real time for detecting ...
XPENG-PKU Research Breakthrough: XPENG, in collaboration with Peking University, has developed FastDriveVLA—a novel visual token pruning framework that enables autonomous driving AI to "drive like a ...
If you want to build this project on your development machine, just check that you match the following requirements: SQLite3 ODBC Driver (download sqliteodbc.exe and ...
GUANGZHOU, China, Dec. 28, 2025 /PRNewswire/ — XPENG, in collaboration with Peking University, has had its paper “FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based ...
Abstract: Recent success in legged robot locomotion is attributed to the integration of reinforcement learning and physical simulators. However, these policies often encounter challenges when deployed ...