# DeepMind's Gemini Robotics ER 2 Adds Video Progress Tracking and Multi-Robot Coordination

The embodied-reasoning model reports 57.4 percent accuracy on continuous progress classification and 91.3 percent on moment finding, orchestrating actions while delegating motor control to lower-level policies.

- Published: 2026-07-31T06:00:12.009Z
- Canonical: https://polylog.news/ai/2026-07-31/deepmind-s-gemini-robotics-er-2-adds-video-progress-tracking
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Google DeepMind](https://blog.google/innovation-and-ai/models-and-research/google-deepmind/gemini-robotics-er-2/), [MarkTechPost](https://www.marktechpost.com/2026/07/30/google-deepmind-gemini-robotics-2-whole-body-control-dexterity-multi-robot-collaboration/)

Google DeepMind released Gemini Robotics ER 2, an embodied-reasoning model that acts as a high-level planner. It streams video, audio, and text to orchestrate actions in real time while delegating motor execution to lower-level vision-langu…

This story is for subscribers. Read it in full at https://polylog.news/ai/2026-07-31/deepmind-s-gemini-robotics-er-2-adds-video-progress-tracking (subscription information: https://polylog.news/pricing).