What real-world robotics datasets are still in short supply today?(reddit.com)

I'm trying to understand where the biggest supply gaps still exist in real-world data for robotics and embodied AI. I'm not referring to synthetic or simulation data, only data collected from the physical world. Some examples I'm thinking about: Dexterous manipulation Tactile/contact sensing Bimanual tasks Warehouse/logistics Industrial assembly Mobile manipulation Long-horizon household tasks Human demonstrations vs. robot-generated data For those working in robotics or VLA/world model research: What types of real-world data do you wish existed in much larger quantities? Are there specific verticals (manufacturing, healthcare, retail, agriculture, etc.) where data is especially scarce? Are there modalities (RGB, depth, tactile, force, audio, IMU, eye gaze, etc.) that are consistently missing? If someone were starting a company focused on collecting real-world robotics data, where would you say the biggest unmet need is today? I'd love to hear perspectives from anyone training robot foundation models, collecting datasets, or deploying robots in production. submitted by /u/Tricky-Promotion6784 [link] [Kommentare]