Google is advancing its artificial intelligence technology, known as DeepMind, into the realm of robotics. Recently, the tech giant introduced two new AI models, Gemini Robotics and Gemini Robotics-ER (extended reasoning), both powered by Gemini 2.0, Google’s latest AI innovation. Unlike conventional generative AI, Gemini Robotics can translate instructions into physical actions to control robots. To advance this technology, Google has partnered with Apptronik, a robotics developer based in Texas, known for its collaborations with industry giants like Nvidia and NASA.
In demonstration videos, Google showcased Apptronik robots, enhanced with the new AI models, performing tasks such as plugging in devices, packing lunch, handling objects, and responding to voice commands. The company emphasized that AI models for robotics need to possess adaptability, responsiveness, and dexterity to be useful in various situations. Gemini Robotics-ER is intended for roboticists to develop their AI models and is available to selected testers, including companies like Agile Robots, Agility Robots, Boston Dynamics, and Enchanted Tools.
Google is not the only tech player venturing into AI for robotics. In a similar pursuit, OpenAI recently invested in Physical Intelligence, a startup focusing on integrating AI into physical applications. Furthermore, Tesla has entered the humanoid robotics industry with its Optimus robot. Sundar Pichai, Google’s CEO, highlighted the significance of robotics as a testing ground for AI advancements in real-world scenarios, where robots equipped with multimodal AI models can adapt and react to their environment quickly.
As technology continues to evolve, the intersection of artificial intelligence and robotics holds vast potential for enhancing automation and efficiency across various industries. With companies like Google, OpenAI, and Tesla making significant strides in this field, the future of AI-powered robotics looks promising and poised to revolutionize how robots interact with and assist humans in diverse settings.
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