# Agent Orchestration

Google DeepMind's Gemini Robotics ER 2, a high-level reasoning model for robots, is now in public preview on the Gemini platform, letting enterprises declare low-level controls such as vision-language-action models and navigation APIs as tools for the model to orchestrate. The model classifies task progress from continuous video and pinpoints critical event frames, with a stated 91.3% accuracy and 0.96-second mean absolute frame distance. It is described as working across embodiments from stationary arms to humanoids, with simulation, evaluation and deployment handled on Google Cloud.

Google DeepMind's Gemini Robotics ER 2, a high-level reasoning model for robots, is now in public preview on the Gemini platform, letting enterprises declare low-level controls such as vision-language-action models and navigation APIs as tools for the model to orchestrate. The model classifies task progress from continuous video and pinpoints critical event frames, with a stated 91.3% accuracy and 0.96-second mean absolute frame distance. It is described as working across embodiments from stationary arms to humanoids, with simulation, evaluation and deployment handled on Google Cloud.

Cohere released North 2, an enterprise agent platform that puts reusable skills, shared knowledge libraries, cross-session memory and per-agent guardrails into one privately deployable system, so regulated industries no longer have to choose between security, intelligence, cost and control.

Cohere released North 2, an enterprise agent platform that puts reusable skills, shared knowledge libraries, cross-session memory and per-agent guardrails into one privately deployable system, so regulated industries no longer have to choose between security, intelligence, cost and control.