Add entry: [Model] RoboVLMs#13
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| description_en: A vision-language-action framework for robotics that integrates | ||
| visual perception and language understanding to generate end-to-end manipulation | ||
| policies from multimodal inputs. | ||
| description_ko: 이미지와 자연어를 입력으로 받아 로봇의 행동을 직접 생성하는 vision-language-action 기반의 엔드투엔드(end-to-end) | ||
| 로봇 정책 모델입니다. |
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VLA 모델은 대부분 기본적으로 이미지와 자연어를 입력으로 받아 로봇의 행동을 생성하기 때문에 이 모델의 특장점이 드러나는 설명문이라고 보기 어려울 것 같습니다.
RoboVLMs에 맞는 특징을 요약해서 추가해 주시면 좋을 것 같아요.
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말씀해 주신 대로 기존 설명은 VLA 모델의 일반적인 정의에 가까워서, 우리 RoboVLMs 프로젝트만의 독창적인 기여도가 잘 드러나지 않았던 것 같습니다!
수정한 내용에서는 단순히 비전과 언어를 결합한다는 내용을 넘어, 이 프레임워크가 백본 선정, 아키텍처 구조화, 다기종 로봇 데이터 통합 과정에서 체계적으로 최적화된 방법론을 제시한다는 점을 명시했습니다.
수정된 내용 확인 부탁드리며, 추가로 다듬거나 보완할 부분이 있다면 편하게 말씀해 주세요!
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Resolves #10
Auto-generated from issue by @skt0725.
Please review the entry before merging.