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UniETP reveals that standardizing diverse simulators can significantly enhance the evaluation and scalability of embodied task planning models.
Achieving a 57.6% success rate on RoboCasa365, Xiaomi-Robotics-1 sets a new standard for vision-language-action models in real-world robotic manipulation.
Forget monolithic VLMs – RoboAgent's modular, capability-driven approach unlocks surprisingly effective embodied task planning by chaining together basic vision-language skills.
