Google’s DeepMind has unveiled groundbreaking research that could revolutionize how robots navigate and interact with their surroundings.
By harnessing the power of Gemini 1.5 Pro’s long context window robots can now understand and respond to complex human instructions in various forms.
How can Gemini 1.5 Pro’s long context window help robots navigate the world? 🤖
— Google DeepMind (@GoogleDeepMind) July 11, 2024
A thread of our latest experiments. 🧵 pic.twitter.com/ZRQqQDEw98
The new system, dubbed “Mobility VLA,” combines Gemini’s impressive language processing capabilities with a unique map-like representation of spaces. This allows robots to build a comprehensive understanding of their environment after just a single video tour, with key locations verbally highlighted.
In tests, these AI-powered robots demonstrated remarkable versatility, responding to a wide range of instructions including map sketches, audio requests, and visual cues.
Perhaps most impressively, they could even interpret natural language commands like “take me somewhere to draw things,” guiding users to appropriate locations based on context and understanding.
This development marks a significant leap forward in robotics and AI integration. By equipping robots with multimodal capabilities and vast context windows, DeepMind is paving the way for a future where machines can seamlessly interact with humans in complex, real-world scenarios.
As this technology evolves, we may soon see robots that can truly see, hear, and think alongside us, transforming industries and everyday life in ways we’re only beginning to imagine.