keplerccc/Robo2VLM-1

Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets Abstract Vision-Language Models (VLMs) acquire real-world knowledge and general reasoning ability through Internet-scale image-text corpora. They can augment robotic systems with scene understanding and task planning, and assist visuomotor policies that are trained on robot trajectory data. We explore the reverse paradigm - using rich, real, multi-modal robot trajectory… See the full description on the dataset page: https://huggingface.co/datasets/keplerccc/Robo2VLM-1.