Search papers, labs, and topics across Lattice.
4
0
4
2
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.
CycleGRPO achieves simultaneous region understanding and localization in MLLMs without any reliance on textual ground truths, revolutionizing multimodal task integration.
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.
Achieving a 43.65% Effective Temporal F1 score, this work reveals that MLLMs can be effectively adapted for complex One-to-Many Temporal Grounding tasks, challenging the limitations of previous models.
