RoboBrain is an MLLM-based model that enhances robotic manipulation by integrating task planning, object affordance, and trajectory prediction, addressing the limitations of MLLMs in robotic scenarios—particularly in long-horizon tasks—while achieving state-of-the-art performance. Building on RoboBrain’s planning capabilities, we propose the RoboOS hierarchical collaborative framework, which integrates the efficient execution of the robotic skills to enable cross-embodiment collaborative control of multiple robots.
