According to Oriol Vinyals (@OriolVinyalsML) on Twitter, recent advancements in AI-powered robotics have resulted in significantly improved trajectory tracking, as showcased in a video demonstration posted on June 27, 2025 (source: twitter.com/OriolVinyalsML/status/1938730365142917169). The video highlights the practical application of machine learning models in accurately predicting and executing complex movement paths, indicating increased potential for robotics in logistics, manufacturing, and autonomous systems. This development opens up new business opportunities for enterprises seeking to optimize operational efficiency through advanced AI-driven automation.

According to Jeff Dean, Google's Gemini Robotics On-Device system leverages over a decade of robotics and AI research from Google DeepMind, Google Research, and Google AI to introduce a state-of-the-art vision-language-action model that operates entirely without network access (source: Jeff Dean, Twitter, June 25, 2025). This breakthrough enables real-time, privacy-focused AI robotics applications in industrial automation, smart home devices, and mobile robotics, enhancing reliability and reducing latency for businesses deploying AI at the edge.