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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.
Xiaomi-Robotics-U0 achieves a remarkable 63.2% success rate on challenging real-world manipulation tasks, showcasing the power of foundation models in embodied robotics.
Attack strings generated by PUFFERDOS not only fit realistic input lengths but also guarantee exploitability in real-world regex engines, unlike previous methods.
Achieve real-time robotic action with 79-91% success while generating high-fidelity 4D reconstructions, all within a single unified world model.
