Tesla has been working on developing artificial intelligence for its vehicles, but now the company's secret technology to accomplish this goal is being taken over by another startup. Proception, an AI startup based in Japan, is taking a unique approach to collecting training data to tackle one of the hardest problems in robotics: hands.
The technology developed by Tesla involves creating robotic arms that can mimic human hand movements and interact with objects around them. However, this technology requires large amounts of high-quality training data to be effective. Proception plans to collect this data through a new robot arm system that can learn to grasp and manipulate various objects in its environment. The system will use machine learning algorithms to analyze the robot's interactions with the objects and create a vast dataset for training.
The cost of acquiring these new robots is expected to be quite high, reportedly in the tens of millions of dollars per unit. This makes it difficult for companies like Tesla to mass-produce this technology without breaking the bank. Proception's approach highlights the challenges of developing AI systems that can interact with the physical world and suggests a more expensive solution than existing methods.