Search papers, labs, and topics across Lattice.
Huazhong University of Science and Technology
4
0
7
Hierarchical latent actions and a novel memory gating mechanism enable HiMem-WAM to excel in long-horizon robotic manipulation, outperforming traditional models in robustness and task performance.
Imagine automating the tedious engineering tasks in embodied AI development with a conversational agent, freeing researchers to focus on core algorithmic innovation.
Forget painstakingly collecting real-world defect data: high-fidelity synthetic anomalies, automatically generated from product designs using an MLLM, can dramatically improve 3D anomaly detection.
Stop struggling with compounding errors in long-horizon robotic tasks: AtomVLA leverages LLMs and latent world models to decompose tasks and score actions, boosting success rates to 97% on LIBERO.
