Artificial Intelligence enables robots to traverse locations inaccessible to humans, such as Fukushima and Mars.
In a significant leap forward for the world of robotics, Google DeepMind has launched Gemini Robotics, a project that embeds its DeepMind Gemini language model into robots capable of operating in the real world. This development promises to transform labor, freeing humans from performing dirty, dangerous, or monotonous tasks.
The versatility of AI-powered robots, as demonstrated by the capabilities of robots to improvise in complex environments, understand ambiguous orders, adapt to changing situations, and execute physical actions with dexterity, accelerates the transition to a labor market where robots take on unhealthy aspects, and humans take on strategic ones.
The key to this new era is not replacement, but complementarity. Robots will take on physical effort and risk, while humans will contribute creativity, strategy, and empathy. The integration of generative AI in industrial robotics allows machines to understand spaces, interpret instructions in natural language, and act in unpredictable environments.
Kanishka Rao, director of robotics at DeepMind, states that generative AI fills the gap between language, cognition, and action in robots. This development promises machines capable of improvising, learning, and cooperating, which could have a significant impact in extreme environments like deep mining, space exploration, and places compromised by radiation, pressure, toxicity, or isolation.
Google has allied with Boston Dynamics to give intelligence to its iconic designs, known for dancing and running, but limited in real scenarios until now. The robotic dog Spot, from Boston Dynamics, is currently used to monitor industrial plants and access risk zones. With the integration of generative AI, robots are becoming more autonomous and capable of reasoning and reacting, making them the silent pioneers of new territories due to their ability to interpret data in real-time, adapt to the unexpected, and learn on the go.
The International Federation of Robotics predicts that there will be over 600,000 new installations of robots annually by 2027. The qualitative leap in robotics is expected to come from humanoids, whose massive expansion in factories is projected within a horizon of five to ten years.
In construction, robots are being trained to navigate ongoing worksites and execute actions autonomously, paving the way for human-machine coexistence in critical tasks. The technological race in AI includes experiments by Meta with robot utility models (RUM), and training of robotic dogs to do parkour using ChatGPT at MIT.
Addressing questions about which jobs will disappear, how the benefits of automation will be shared, and the role of education in this transition will be crucial for generative robotics to be a tool for progress, not inequality. The novelty is that, with AI, robots cease to be simple executors and become autonomous agents capable of reasoning and reacting. This development, while promising, requires careful consideration and management to ensure a smooth transition into this new era of robotics.
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