Steven Hoi

This framework surveys manipulation, navigation, locomotion, autonomous driving, and general embodied learning, tracing technical progressions, clarifying capability requirements, and examining datasets, benchmarks, and evaluation protocols.

Current LLMs falter in mobile environments, with performance plummeting under real-world constraints, revealing critical gaps in their planning capabilities.

Pixel-space diffusion models can now rival latent-space counterparts while achieving up to 4.75 times faster inference.

Qwen-UI-Agent outperforms leading models in mobile and cross-platform tasks, achieving up to 97.5% accuracy on key benchmarks.