The robot race is fueling a fight for training data
AI is upending the way robots learn, leaving companies and researchers with a need for more data. Getting it means wrestling with a host of ethical and legal questions.
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AI is upending the way robots learn, leaving companies and researchers with a need for more data. Getting it means wrestling with a host of ethical and legal questions.
More data, better AI, and cheaper hardware are helping roboticists take a step closer to the dream of useful household robots.
Carmaker Toyota is developing robots capable of learning to do household chores by observing how humans take on the tasks. The project is an example of robotics getting a boost from generative AI.
Leading thinkers from CMU, UC Berkeley, Meta, NVIDIA, Boston Dynamics and the Toyota Research Institute share their predictions.
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