Abstract: Reinforcement Learning (RL) is increasingly used in autonomous driving (AD) and shows clear advantages. However, most RL-based AD methods overlook policy structure design. An RL policy that ...

Abstract: Learning-based 3D reconstruction has emerged as a transformative technique in autonomous driving, enabling precise modeling of environments through advanced neural representations. It has ...

(*) Equal contribution. (†) Project leader. ( ) Corresponding author. Recent end-to-end autonomous driving approaches have leveraged Vision-Language Models (VLMs) to enhance planning capabilities in ...

China has suspended issuing new licenses for autonomous vehicles, according to people familiar with the matter, after dozens of Baidu Inc.’s Apollo Go robotaxis suddenly stopped in Wuhan last month, ...

General Robotics is the creator of GRID, a unified intelligence platform that connects robots from different manufacturers to deployable AI. The GRID platform features modular AI capabilities, ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. The latest generation of XPENG's P7 can be equipped with VLA 2.0 autonomous driving ...

The world of racing games in 2026 continues to push realism closer to real-world motorsport, blending advanced physics, laser-scanned tracks, and highly detailed car behavior. Whether you're chasing ...