Dec 24, 2023 · We introduce an innovative approach for robot manipulation that leverages the robust reasoning capabilities of Multimodal Large Language Models (MLLMs)
In summary, our contributions are as follows: • We innovatively present a simple yet effective approach that transforms the ability of MLLMs into object-centric.
We introduce an innovative approach for robot manipulation that leverages the robust reasoning capabilities of Multimodal Large Language Models (MlLMs)
The official codebase for ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation (CVPR 2024)
We introduce an innovative approach for robot manipulation that leverages the robust reasoning capabilities of Multimodal Large Language Models (MLLMs)
In summary, our contributions are as follows: • We innovatively present a simple yet effective approach that transforms the ability of MLLMs into object-centric.
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In this experiment, we utilize the success or failure of manipulations in the simulator as a supervisory signal to guide the model in determining whether the ...
This work introduces an innovative approach for robot manipulation that leverages the robust reasoning capabilities of Multimodal Large Language Models ...
We introduce an innovative approach for robot manipulation that leverages the robust reasoning capabilities of Multimodal Large Language Models (MLLMs)
Jan 2, 2024 · [2312.16217] ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation. arxiv.org. Open. Upvote 1. Downvote
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