ID (slug)
robovlms
Name
RoboVLMs
Organization
Multiple
Year
2025
Description (English)
A systematically optimized VLA framework for generalist robots. It easily transfers various foundation VLMs into robust control policies with minimal manual design and supports cross-embodiment data integration.
Description (Korean)
범용 로봇을 위해 체계적으로 최적화된 VLA 프레임워크. 최소한의 설계로 다양한 파운데이션 VLM을 강건한 로봇 제어 정책으로 전환하며, 다기종 로봇 데이터 통합을 지원합니다.
GitHub URL
https://github.com/Robot-VLAs/RoboVLMs
Paper URL (arXiv)
https://arxiv.org/abs/2412.14058
HuggingFace URL
https://huggingface.co/robovlms/RoboVLMs
Project Page URL
https://robovlms.github.io/
Categories
Hardware Targets
Learning Methods
Framework
Communication
Tags (optional)
No response
Checklist
ID (slug)
robovlms
Name
RoboVLMs
Organization
Multiple
Year
2025
Description (English)
A systematically optimized VLA framework for generalist robots. It easily transfers various foundation VLMs into robust control policies with minimal manual design and supports cross-embodiment data integration.
Description (Korean)
범용 로봇을 위해 체계적으로 최적화된 VLA 프레임워크. 최소한의 설계로 다양한 파운데이션 VLM을 강건한 로봇 제어 정책으로 전환하며, 다기종 로봇 데이터 통합을 지원합니다.
GitHub URL
https://github.com/Robot-VLAs/RoboVLMs
Paper URL (arXiv)
https://arxiv.org/abs/2412.14058
HuggingFace URL
https://huggingface.co/robovlms/RoboVLMs
Project Page URL
https://robovlms.github.io/
Categories
Hardware Targets
Learning Methods
Framework
Communication
Tags (optional)
No response
Checklist