The Real Problem With Boston Dynamics’ next-gen humanoid robot will have Google DeepMind DNA in 2025
What Is This About?
Overview
Robotics company Boston Dynamics has struck a partnership with Google’s AI research lab to speed up the development of its next-generation humanoid robot Atlas — and make it act more human around people The partnership, which was announced Monday during the Hyundai press conference at CES 2026, is centered on robotics research that will use Google DeepMind’s AI foundation models Boston Dynamics’ humanoid robot Atlas will be the first test case, according to Carolina Parada, senior director of robotics at Google DeepMind
Why This Matters
“We’re looking to integrate our cutting-edge AI foundation models with Boston Dynamics’ new Atlas robots, and we’ll aim to develop the world’s most advanced robot foundation model to fulfill the promise of true general-purpose human needs,” Parada said onstage The tie-up comes less than a year after the Google AI research lab announced new AI models called Gemini Robotics that are designed to allow robots to perceive, reason, use tools, and interact with humans Gemini Robotics is based on a large-scale multimodal generative AI model, Gemini
Key Insights
At the time, Google DeepMind said the robotics AI model was trained to generalize behavior across a range of different robotics hardware
Enter Boston Dynamics, and its majority owner, Hyundai Motor Group
Industry Impact
This development is expected to influence the technology industry, highlighting ongoing changes in innovation, competition, and adoption.
Final Thoughts
As the technology landscape continues to evolve, stories like this demonstrate why staying informed is increasingly important.
Why This Matters Right Now
This issue is becoming increasingly important as cost, risk, and long-term impact are drawing attention from businesses and users alike.
Real-World Impact
In real-world scenarios, this development could influence decision-making, technology adoption, and competitive positioning.
Risks and Limitations
Despite its potential, there are concerns related to scalability, security, regulatory challenges, and hidden costs.
Final Thoughts
Understanding this topic early can help readers make informed decisions and prepare for what comes next.
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