Google · IEEE Spectrum AI
Boston Dynamics and Google DeepMind Teach Spot to Reason
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The addition of Gemini Robotics brings embodied AI reasoning to inspection robots.
Key facts
- As Parada points out, Spot’s rarefied status as a scalable commercial platform provides a valuable opportunity to learn how models like Gemini Robotics-ER 1.6 can be the most useful, and then apply
- Advances like Gemini Robotics-ER 1.6 mark an important step toward robots that can better understand and operate in the physical world,” Marco da Silva, vice president and general manager of Spot
- Parada says that Gemini Robotics-ER 1.6 approaches situations like this from a safety perspective
- Today the company is announcing that its quadruped robot Spot is now equipped with Google DeepMind’s Gemini Robotics-ER 1.6, a high-level embodied reasoning model that brings usability
Summary
The amazing and frustrating thing about robots is that they can do almost anything you want them to do, as long as you know how to ask properly. AI has promised to change that. The idea is that when AI is embodied within robots—giving AI software a physical presence in the world—those robots will be imbued with reasoning and understanding. Although this video shows Spot in a home context, the focus of this partnership is on one of the few applications where legged robots have proven themselves to be commercially viable: inspection. “Advances like Gemini Robotics-ER 1.6 mark an important step toward robots that can better understand and operate in the physical world,” Marco da Silva, vice president and general manager of Spot at Boston Dynamics, says in a press release.