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.
PIGINet leverages machine learning to streamline and enhance household robots’ task and motion planning, by assessing and filtering feasible solutions in complex environments.
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