According to @berkeley_ai, researchers from the Berkeley Artificial Intelligence Research (BAIR) lab, including @kevin_zakka, @qiayuanliao, @arthurallshire, @carlo_sferrazza, @KoushilSreenath, and @pabbeel, along with Google collaborators, have won the Outstanding Demo Paper Award at RSS 2025. This recognition highlights significant advancements in AI-powered robotics, as the demo showcased practical applications of cutting-edge machine learning in real-world robotic systems. The award-winning work demonstrates scalable approaches for deploying artificial intelligence in autonomous robots, offering concrete business opportunities in automation, smart manufacturing, and logistics. This achievement underscores the growing trend of industry-academia collaborations driving AI innovation, with direct implications for enterprise adoption of intelligent robotics solutions (Source: @berkeley_ai, June 25, 2025).

According to Google DeepMind (@GoogleDeepMind), the company has unveiled Gemini Robotics On-Device, its first vision-language-action model designed to run directly on robots without requiring a constant internet connection. This new AI system enables robots to process visual, linguistic, and action cues locally, making them faster, more efficient, and adaptable to dynamic environments and new tasks. The on-device capability addresses challenges of latency and connectivity, unlocking business opportunities in sectors like manufacturing, logistics, and healthcare where reliable offline performance is critical. The advancement positions Google DeepMind at the forefront of embedded AI robotics, with the potential to accelerate the deployment of autonomous systems across various industries (source: Google DeepMind, June 24, 2025).