Search papers, labs, and topics across Lattice.
5
0
6
Mi-Memory achieves over 93% accuracy in preserving user context across diverse AI interactions, redefining how memory can govern personal AI experiences.
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.
Real-world GUI agents can achieve over 72% success in complex mobile tasks by leveraging a unique hybrid training approach that integrates real-device execution and adaptive learning from failures.
RL fine-tuning on a massive new mobile GUI dataset closes the sim2real gap, outperforming supervised methods and suggesting a path to more robust vision-language agents.
Achieve state-of-the-art performance in vision-language-action tasks with Xiaomi-Robotics-0, a model that executes smoothly in real-time on real robots using a consumer-grade GPU.
