This paper introduces RynnBrain 1.1, a family of large-scale embodied foundation models that can perform tasks like spatial reasoning, localization, and planning, and shows promising results in real-world robot experiments. Practitioners may care about the potential of these models for robot manipulation and control.
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In this episode, Lukas Petersson and Axel Backlund from Andon Labs discuss their innovative AI evaluation benchmarks that focus on real-world agent performance, including their Project Vend vending machine business and multi-agent systems. …