AI Summary26 Mar 20267 Shawwal 1447 AH
AI Summary
26 Mar 20267 Shawwal 1447 AH
GroundedPlanBench: Spatially grounded long-horizon task planning for robot manipulation
VLM-based robot planners face challenges with long, complex tasks due to ambiguities in natural-language plans. GroundedPlanBench has been developed to evaluate whether these models can effectively plan actions and determine their locations in diverse real-world scenarios. The Video-to-Spatially Grounded Planning (V2GP) framework converts robot demonstration videos into spatially grounded training data, enhancing both planning and grounding capabilities.
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This summary is generated with AI and receives periodic editorial review. Refer to the original source for full details.
GroundedPlanBench: Spatially grounded long-horizon task planning for robot manipulation
VLM-based robot planners face challenges with long, complex tasks due to ambiguities in natural-language plans. GroundedPlanBench has been developed to evaluate whether these models can effectively plan actions and determine their locations in diverse real-world scenarios. The Video-to-Spatially Grounded Planning (V2GP) framework converts robot demonstration videos into spatially grounded training data, enhancing both planning and grounding capabilities.
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This summary is generated with AI and receives periodic editorial review. Refer to the original source for full details.
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