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Google's DeepMind Unveils Safer Robot Advances With 'Robot Constitution'

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著者: msmash
An anonymous reader shares a report: The DeepMind robotics team has revealed three new advances that it says will help robots make faster, better, and safer decisions in the wild. One includes a system for gathering training data with a "Robot Constitution" to make sure your robot office assistant can fetch you more printer paper -- but without mowing down a human co-worker who happens to be in the way. Google's data gathering system, AutoRT, can use a visual language model (VLM) and large language model (LLM) working hand in hand to understand its environment, adapt to unfamiliar settings, and decide on appropriate tasks. The Robot Constitution, which is inspired by Isaac Asimov's "Three Laws of Robotics," is described as a set of "safety-focused prompts" instructing the LLM to avoid choosing tasks that involve humans, animals, sharp objects, and even electrical appliances. For additional safety, DeepMind programmed the robots to stop automatically if the force on its joints goes past a certain threshold and included a physical kill switch human operators can use to deactivate them. Over a period of seven months, Google deployed a fleet of 53 AutoRT robots into four different office buildings and conducted over 77,000 trials. Some robots were controlled remotely by human operators, while others operated either based on a script or completely autonomously using Google's Robotic Transformer (RT-2) AI learning model.

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Google Contractor Pays Parents $50 To Scan Their Childrens' Faces

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著者: msmash
Google is collecting the eyelid shape and skin tone of children via parent submitted videos, according to a project description online reviewed by 404 Media. From the report: Canadian tech conglomerate TELUS, which says it is working on Google's behalf, is offering parents $50 to film their children wearing various props such as hats or sunglasses as part of the project, the description adds. The project shows the methods some companies are using to build machine learning, artificial intelligence, or facial recognition datasets and products. Rather than scraping already existing images or analyzing previously collected material, TELUS, and by extension Google, is asking the public to contribute directly and get paid in return. Google told 404 Media the collection was part of the company's efforts to verify users' age.

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