Nvidia has revealed a range of advanced workflows to accelerate its humanoid development aspirations at the Conference for Robot Learning (CoRL) in Munich, Germany. The new tools showcased at the industry event have been tipped to significantly assist robotics developers in their work on AI-enabled robots. The line-up of features includes the general rollout of the Nvidia Isaac Lab robot learning frameworks, six new humanoid learning workflows for Project GR00T, and development tools for video data curation and processing, including the Nvidia Cosmos tokenizer and Nvidia NeMo Curator. Robotics developers are provided with enhanced visual tokenization through the open-source Cosmos tokenizer which is able to break down images and videos into high-quality tokens with advanced compression rates, up to 12 times faster than current tokenizers on the market. A similar uplift is available with NeMo Creator, with its offering providing video processing curation around seven times faster than competitors. Nvidia in collaboration with Hugging Face Meanwhile, Project GR00T is Nvidia’s program to make forward leaps in robot development.