Another step in our lab's Oopsie- line of research: after OopsieVerse (our simulator with damage aware capabilities) we now focus on failures in the real world. I'm excited call-for-contributions to OopsieData, the first large dataset of robot failures! This has the potential to be a game-changer for safety in robotics. Please, consider contributing
Really excited for this initiative!
Failure data is becoming very useful, and the best part, every robot lab collects them; they're just rarely shared. OopsieData aims to change that by pooling real-world robot failures across labs, making a collective dataset for all to use! 👇
Tell a robot “spray the plant” 🪴— how does that translate into dexterous action? It must grasp the bottle stably, aim it at the leaves, and squeeze the trigger.
Excited to share CoDex(#ICRA2026): A framework for dexterous manipulation of functional objects WITHOUT demonstrations using VLM guidance + optimization + RL!
📄 arXiv paper: https://t.co/lqEmNRc1yO
🔗 Project page & hardware videos: https://t.co/dTMWiLUzkH
Huge thanks to my amazing collaborators @WillReger750 and @RobobertoMM at UT Austin’s RobIn Lab (@texas_robotics)!