Shanghai AI Laboratory (上海人工智能实验室) is a state-backed, non-profit national-level AI research institute in China that conducts frontier research across large language models, embodied intelligence, safe AI, and AI for science. It is widely known for its open-source outputs including the InternLM family of large language models and InternVL vision-language models, serving the global AI research community and industry partners in areas such as healthcare, autonomous driving, and robotics.
“Contributing author to the BORA framework, which deploys 'extensive evaluations across five complex real-world dexterous tasks.'”
Source→“The primary bottleneck is the lack of high-fidelity 3D interaction data for humanoid robots, which prevents the learning of robust and versatile interaction policies.”