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 ...

Autonomous and automated laboratory systems are rapidly transforming the landscape of drug discovery by combining robotics, advanced sensing, and ...

(*) Equal contribution. (†) Project leader. ( ) Corresponding author. ReCogDrive-Base-VLM 2B Stage 1 84.1 Model ReCogDrive-Base-IL 2B + 35M Stage 1&2 86.5 Model ReCogDrive-Base-RL 2B + 35M Stage 1&2&3 ...

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 ...

Artificial intelligence (AI) is rapidly moving beyond pilot projects to large-scale deployment in manufacturing, but many Taiwanese firms remain constrained by data, infrastructure, and investment ...

SHANGHAI, April 17 (Reuters) - Hesai (2525.HK), opens new tab, China's leading maker of lidar, has developed a version of the technology used in autonomous driving that is capable of detecting colour, ...

Abstract: The objective of this project is to build up sophisticated autonomous driving simulation based on CARLA platform and reinforcement learning. The primary objective is to train a robust and ...

The new investment will support integration across automotive compute platforms. Credit: Wayve Wayve, which makes AI for autonomous vehicles, has received US$60m funding from technology companies ...

EVANSVILLE, IN—PIA Automation is launching a new business segment focused on embodied AI and humanoid robotics, expanding its automation portfolio as manufacturers seek more flexible systems to handle ...