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SHRIMP: Iteratively Revising Robot Task Plans with Natural Language

The SHRIMP system lets users automatically generate hierarchical robot primitive plans using natural language, and iteratively revise those plans through re-prompting and explicit correction. After each revision, users can validate the plan in simulation and, once satisfied, execute it on the physical robot. A user study with 35 participants on tabletop kitchen task planning showed that SHRIMP improved users' perceived control and robot transparency.

Part of the event: SHRIMP: Iterative Correction of Robot Plans in Natural Language

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