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What is Language-Augmented Planner for Robotics about?

The document presents the Language-Augmented Symbolic Planner (LASP), which integrates large language models (LLMs) with traditional symbolic planning to enable robotic agents to perform complex long-horizon tasks in open-world environments. LASP addresses the limitations of conventional symbolic planners that rely on complete domain knowledge by allowing them to operate with incomplete knowledge and diagnose execution errors through interaction with the environment. Experimental results demonstrate LASP

Author

masterlh0923

Language

EN