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Robots Learn Through Training, Not Programming Anymore

๐—ฅ๐—ผ๐—ฏ๐—ผ๐˜๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ป๐—ผ ๐—น๐—ผ๐—ป๐—ด๐—ฒ๐—ฟ ๐—ฝ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ฒ๐—ฑ. ๐—ง๐—ต๐—ฒ๐˜† ๐—ฎ๐—ฟ๐—ฒ ๐˜๐—ฟ๐—ฎ๐—ถ๐—ป๐—ฒ๐—ฑ. Thatโ€™s the real shift Iโ€™m seeing from NVIDIAโ€™s GTC. Using Isaac Lab, robots are learning through reinforcement learning in simulation: โ–ช๏ธ Millions of trials โ–ช๏ธ No step-by-step instructions โ–ช๏ธ Learning by reward and feedback Thatโ€™s how a machine learns to drive, jump, flipโ€ฆ and recover. What stands out to me is this: ๐—ช๐—ฒโ€™๐—ฟ๐—ฒ ๐—บ๐—ผ๐˜ƒ๐—ถ๐—ป๐—ด ๐—ณ๐—ฟ๐—ผ๐—บ ๐—ฐ๐—ผ๐—ฑ๐—ฒ โ†’ ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด. And once systems can learn, they donโ€™t just execute. They adapt. Same shift we saw with LLMs. Now itโ€™s happening in the physical world. ๐—ฆ๐—ผ ๐—ต๐—ฒ๐—ฟ๐—ฒโ€™๐˜€ ๐—บ๐˜† ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป: Are we ready for machines that improve faster than we can program them? #ai #robotics #reinforcementlearning #nvidia #gtc #futureofwork

โ†’ View original post on X โ€” @pascal_bornet, 2026-03-30 05:01 UTC