“N0-TWAM is the first world-action model that predicts future touch jointly with future vision, rather than treating tactile data as a side input. It was pre-trained on "tens of thousands hours of real-robot data… spanning six embodiments and 450 tasks"”
Source→“Listed under "Project Lead" and "Pre-Training" in the Contributors section”
Source→“Listed under "Project Lead", representing the academic side of the collaboration”
Source→“The most ubiquitous contributor — listed in Pre-Training, Post-Training (Simulation), Post-Training (Real Robot), and Data Processing”
Source→“NeoteAI / Fudan TEAI: The authors' organizations, developers of N0-VTLA, NeoData, NeoReal benchmark, and the self-developed visuo-tactile sensor. They have built the full stack: sensor hardware, data pipeline, model architecture, training recipe, and benchmarks”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.