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  "documentTitle": "Accenture Tech Vision 2025",
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      "text": "Foundation models are unlocking a new chapter as we begin to assemble a full stack of robotics hardware, software, and AI models purpose-built for one thing: machine autonomy in the human world.",
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      "text": "There is a seismic shift happening in robotics and AI—and this scene from early 2024 was one of the first major demonstrations. The robot, called Figure 01, had no human assistance. Using a large vision language model (VLM) trained by OpenAI for visual reasoning and language understanding, and robotics startup Figure’s neural networks for fast, dexterous robotic action, it understood the person’s question, recognized the apple as food, and acted on its own.",
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      "text": "Over the next decade, we will start to see robots casually and commonly interacting with people, reasoning their way through unplanned tasks, and independently taking actions in any kind of environment. It is an opportunity for physical reinvention in industries far beyond the ones typically leveraging robotics. Robots will be able to move into customer-heavy environments, work in unpredictable settings, communicate with anyone and take on any number of tasks, without needing to be specifically trained for each. Advances and adoption are coming fast. Recent years have seen a meteoric rise in new startups, investments, and innovation, each tackling different dimensions of robotics.",
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      "text": "Machine intelligence is moving into the physical world, and robots are starting to demonstrate reason and autonomy. We’ve long had robots, but this is something new: the dawn of machines that can perform and coexist in truly human environments.",
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      "text": "A silvery humanoid stands at a table with an apple, some dishes, and a drying rack. A man asks for something to eat, and the robot hands him the apple. When the man asks why, it explains that the apple was the only edible item.",
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      "text": "Before, robots didn’t “think.” They did repetitive tasks, rigidly. A small mistake or unexpected occurrence could end a task in failure. A vague command, “Can I have something to eat?” would not compute. This inability to navigate or reason through a world built for and lived in by people is why robots have never been truly autonomous, relegated to heavily controlled environments like factories and warehouses and largely kept away from the general population. They were guardrailed to be with other machines and not mixed with human workflows or interactions. But now these limits are dissolving. Foundation models are unlocking a new chapter as we begin to assemble a full stack of robotics hardware, software, and AI models purpose-built for one thing: machine autonomy in the human world.",
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