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MIT engineers aim to give robots a bit of common sense when faced with situations that push them off their trained path, so they can self-correct after missteps and carry on with their chores. The team’s method connects robot motion data with the common sense knowledge of large language models, or LLMs.
Researchers from MIT CSAIL came up with PIGINet, a novel machine learning-based system that improves household robots' efficiency by using multimodal input sequences to anticipate and select feasible task plans, reducing planning time and enabling adaptability in diverse environments.
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/PRNewswire/ -- The "Robot Report Subscription: Market Shares, Market Strategies, and Market Forecasts, 2022 to 2028" report from Wintergreen Research, Inc has...
Dublin, March 06, 2023 (GLOBE NEWSWIRE) -- The "Robot Report Subscription: Market Shares, Market Strategies, and Market Forecasts, 2022 to 2028" report...