{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Embodied AI 101","title":"From Demo to Duty: RL-100's Real-World Reinforcement Learning Flywheel","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/baf75415\"></iframe>","width":"100%","height":180,"duration":1988,"description":"Real-world robotic manipulation in homes and factories demands reliability, efficiency, and robustness that approach or surpass skilled human operators. We present a real-world reinforcement learning (RL) framework, RL-100, for achieving performant robotic manipulation through real-world RL training.","thumbnail_url":"https://img.transistorcdn.com/l8CFsmXH35eVfcacIHndPwz_TJFZ0DzYC1nXc9Riruc/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wOGM3/YThiZDUxOTM4M2Vi/N2YzMTNkZDFiNDJh/ZDI1Mi5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}