Diverse Planning
Diverse planning focuses on generating multiple, distinct plans to achieve a given goal, addressing limitations of traditional methods that often produce only a single solution. Current research explores hybrid approaches combining fast, intuitive planning with slower, more deliberate methods, often leveraging large language models or other machine learning techniques to improve efficiency and robustness in complex environments. This work is significant for advancing robotics, automation, and AI, enabling more adaptable and resilient systems capable of handling uncertainty and diverse user needs in real-world applications.
Papers
July 19, 2024
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February 1, 2022
December 26, 2021