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robotics    音标拼音: [r,ob'ɑtɪks]
机器人学



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  • Action-driven Intelligence | Ted Xiao | Substack
    Robotics in the Era of Foundation Models 5 Major Trends in AI + Robotics in 2023 Dec 30, 2023 • Ted Xiao 18
  • Robotics in the Era of Foundation Models - by Ted Xiao
    At the end of Act I, we decide that low-level control – the hard parts of robotics – still need to be built in-house: perhaps inspired by, but still kept away from the arcane workings of the LLM artifact First contact between robotics and LLMs is intriguing and exciting, but not yet transformative
  • What’s Missing for Robot Foundation Models? - by Ted Xiao
    But what about robotics? In robotics, scaling up has often come with some substantial costs For example, while scaling single-task RL to multi-task RL often gives sample efficiency gains, this often comes at a tradeoff of lower per-task asymptotic performance
  • Archive - Action-driven Intelligence
    Robotics in the Era of Foundation Models 5 Major Trends in AI + Robotics in 2023 Dec 30, 2023 • Ted Xiao 18
  • Action-driven Intelligence
    Progress and Missing Pieces on the Frontier of Robotics + AI What’s Missing for Robot Foundation Models? 5 Major Trends in AI + Robotics in 2023 Robotics in the Era of Foundation Models The art and science of taming internet-scale data distributions AI is Domestication
  • AI is Domestication - by Ted Xiao - Substack
    This narrative of “general large models being used for narrow synthetic generation” has been increasingly explored in a variety of contexts, ranging from vision to robotics
  • Comments - Robotics in the Era of Foundation Models
    Robotics can be seen as a navigation problem and navigation as a spacial token prediction problem That's why foundation models and generalization might work Expand full comment Reply Share





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