2024
Text2Reaction : Enabling Reactive Task Planning Using Large Language Models
RA-L 2024
To complete tasks in dynamic environments, robots need to timely update their plans to react to environment changes. Traditional stripe-like or learning-based planners struggle to achieve this due to their high reliance on meticulously predefined planning rules or labeled data. Fortunately, recent w