Researchers from the Cognitive Neurotechnology Unit, Vision and Action Laboratory, and Visual Perception and Cognition ...

It is important to clarify: we do not use VLMs to drive the robot. Using a heavy cloud model to steer in real time would ...

Abstract: End-to-end autonomous driving has emerged as a promising paradigm integrating perception, decision-making, and control within a unified learning framework. Recently, Vision-Language Models ...

Flexion Robotics has introduced Reflect v1.0, a robotics intelligence platform that enables humanoid robots ...

The biggest innovation over the last year is that inference-time scaling techniques that have been pioneered in natural language models have now come to visual language models,” said Eric Heim, chief ...

Multimodal Large Language Models (MLLMs) have made impressive progress in connecting vision and language, but they still struggle with spatial understanding and viewpoint-aware reasoning. Recent ...

First unveiled at CES 2026, the Narwal Flow 2 immediately captured widespread media attention and earned multiple prestigious awards. Today, with its official release, Narwal brings this highly ...

Featuring unlimited object recognition, a 140°F self-cleaning track mopping system, and a reimagined premium design for smarter, more efficient home cleaning. First unveiled at CES 2026, the Narwal ...

InternVL3.5 Foundation Model reading_notes/2025-08_InternVL35.md Qwen2.5-VL Foundation Model reading_notes/2025-02_Qwen25-VL.md Janus-Pro Unified Generation reading ...

A scientific dispute spanning six decades about fundamental mechanisms of visual perception in mammals has now been settled. Researchers at TUM have succeeded in observing the visual information flow ...

According to Stanford AI Lab, VAGEN is a reinforcement learning framework that teaches vision language model agents to construct internal world models via explicit visual state reasoning, enabling ...