Google DeepMind has released Gemini Robotics ER 2, a model built specifically to close the gap between language reasoning and physical task execution in robotic systems.
Three capabilities define it: video understanding that lets robots parse and act on visual context in real time, tool orchestration that chains multiple systems into coherent task pipelines, and multi-robot collaboration that allows separate units to coordinate on shared goals without centralized scripting.
The original post breaks down how each of these capabilities is implemented technically, not just what they produce. If you care about where robotics meets large model inference, the architecture details are worth the read.
[READ ORIGINAL →]