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DeepMind introduces Gemini Robotics 2 for full body robot control

DeepMindโ€™s Gemini Robotics 2 is a vision-language-action model for full-humanoid control, shipping as a distinct product from Gemini Robotics ER 2.

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On July 30, 2026, DeepMind published Gemini Robotics 2: a vision-language-action model that turns vision and language into motor commands for full-body humanoids and multi-robot work. ByteForward already covered Gemini Robotics ER 2. This card is the whole-body VLA sibling, plus the on-device variant.

Carolina Parada’s post is the primary. Three models, one family.

VLA vs ER 2 planner roles

Gemini Robotics 2 is the VLA: pixels and words in, motor control out, feet to fingertips, two-arm robots included. Gemini Robotics ER 2 is the embodied-reasoning VLM: talk to humans, parse the room, plan multi-step tasks that last several minutes, and now coordinate a team. ER 2 is on Google AI Studio and in private preview on Gemini Enterprise Agent Platform. The VLA and on-device weights are early-access partner SKUs.

If you already filed the ER 2 planner card, do not paste it here. The new sentence is whole-body control plus collaboration, not “Gemini can see.”

Whole-body and multi-robot claims

Previous Gemini Robotics stacked upper-body tabletop work. Robotics 2 walks. DeepMind’s example: Apptronik Apollo 2 told to put a watering can in a green bin on the bottom shelf โ€” walk, pick, walk, place. Same checkpoint on Apollo 2 with SharpaWave hands, Apollo 2 with Inspire hands, and a Franka Duo with a Robotiq gripper. Dexterity examples: knot-tying and ziplock seals on a 22-DoF SharpaWave; tight packing on a parallel gripper.

ER 2 adds multi-robot collaboration: different bodies talking through a workflow one robot cannot finish. DeepMind is honest that multi-finger dexterity is still the weak bar.

On-device vs partner access

Gemini Robotics On-Device 2 is the efficient VLA for no-network cells. DeepMind says it adapts to new bi-arm bodies in a few hours, typically under 200 examples โ€” Dexmate, SO101, Trossen in the post. That is the motion-transfer claim. It is not a public download.

What early-access hardware looks like

Named partners in the acknowledgements include Apptronik, Boston Dynamics, and Agile Robots. Hardware in the demos is Apollo 2 and Franka. ASIMOV-Agentic is the new safety bench: refuse unsafe VLA tool calls, predict impossible tasks, ask a human when unsure. ER 2 is described as stronger on human-proximity stops.

Gemini Robotics 2 is a July 30 whole-body VLA. Try ER 2 in AI Studio if you want the planner. Apply for trusted tester if you want motors. Do not confuse the blog’s walking can with a product you can pip install. The safety technical report is the other primary if you are buying a cell that shares a floor with people.

Maya Chen
Maya Chen

Maya Chen is focused on covering AI models, research, and the evidence behind new capabilities. Maya follows model launches, benchmarks, open weights, and scientific uses of AI with one question in mind. What changed, and how would we know? The voice is curious and exacting, with a soft spot for elegant technical ideas and little patience for a leaderboard without context.

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