Gemini Robotics is an advanced vision–language–action model developed by Google DeepMind[1] in partnership with Apptronik.[2] It is based on the Gemini 2.0 large language model.[3] It is tailored for robotics applications and can understand new situations.[4][5] There is a related version called Gemini Robotics–ER, which stands for embodied reasoning.[3] The two models were launched on March 12, 2025.[5]
On June 24, 2025, Google DeepMind released Gemini Robotics On-Device, a variant designed and optimized to run locally on robotic devices.[6]
On July 30, 2026, Google DeepMind announced Gemini Robotics ER 2, an upgrade to its embodied reasoning model featuring real-time video understanding, task progress tracking, lower-latency orchestration via the Gemini Live API, tool integration, and multi-robot collaboration. With this release, the model was made publicly available to developers via the Gemini API and Google AI Studio.[7]
Access to earlier Gemini Robotics models was initially restricted to trusted testers, including Agile Robots, Agility Robotics,[8] Boston Dynamics, and Enchanted Tools.[2]
References
- ↑ "Gemini Robotics". deepmind.google. Retrieved March 12, 2025.
- 1 2 Parada, Carolina (March 12, 2025). "Gemini Robotics brings AI into the physical world". Google DeepMind. Retrieved July 11, 2025.
- 1 2 Knight, Will (May 12, 2025). "Google's Gemini Robotics AI Model Reaches Into the Physical World". WIRED. Retrieved March 12, 2025.
- ↑ "Google introduces new AI models for rapidly growing robotics industry". Reuters. March 12, 2025. Retrieved March 12, 2025.
- 1 2 Roth, Emma (March 12, 2025). "Google DeepMind's new AI models help robots perform physical tasks, even without training". The Verge. Retrieved March 12, 2025.
- ↑ Parada, Carolina (June 24, 2025). "Gemini Robotics On-Device brings AI to local robotic devices". Google DeepMind. Retrieved July 11, 2025.
- ↑ Hansen, Steven; Xu, Peng (July 30, 2026). "Introducing Gemini Robotics ER 2". Google DeepMind. Retrieved August 2, 2026.
- ↑ "Training a Whole-Body Control Foundation Model". Agility Robotics. Archived from the original on September 28, 2025. Retrieved January 6, 2026.
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