Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Humans pay enormous attention to lips during conversation, and robots have struggled badly to keep up. A new robot developed ...

Google shows no signs of slowing its AI advancements, now announcing TranslateGemma, a new set of translation models ...

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...

Abstract: Enabling robots to perform everyday tasks has become increasingly important. Task planning, which decomposes task instructions into executable action sequences, is crucial for equipping ...

Objective: We aimed to develop, validate, and assess NeuroBot, an AI-driven system that uses large language models (LLMs) with retrieval-augmented generation to deliver timely, accurate, and ...

TonyPi AI humanoid robot brings Raspberry Pi 5 vision, voice control, and multimodal model integration to an 18-DOF education ...

To get started with loading and running OpenVLA models for inference, we provide a lightweight interface that leverages HuggingFace transformers AutoClasses, with minimal dependencies. For example, to ...

Abstract: Foundation models have achieved remarkable breakthroughs across various domains, with the widely use of masked image modeling (MIM) and self-supervised learning (SSL). However, these models ...

The diffusion paradigm has emerged as a promising alternative to autoregressive (AR) models, offering the potential for efficient parallel decoding. However, existing diffusion vision language models ...

Safely achieving end-to-end autonomous driving is the cornerstone of Level 4 autonomy and the primary reason it hasn’t been widely adopted. The main difference between Level 3 and Level 4 is the ...