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Zu-Xuan Wu

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#artificial intelligence Preprint Sep 2026

Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents

Vision-language-action and world-action models have demonstrated impressive capabilities in robotics, yet generalization to unseen tasks remains challenging. More recently, general-purpose multimodal agents have shown great potential for zero-shot robotic task solving. However, they often incur high execution costs by...

Si-Cheng Xie, Yi-Tong Chen, Hai-Dong Cao et al. · 0 citations

Preprint Jul 2026

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation

Imitation learning enables robots to acquire manipulation skills from demonstrations by mapping observations to actions. Existing approaches predict either short-horizon continuous action sequences or discrete keyposes. However, continuous prediction methods suffer from compounding errors due to short prediction horizo...

Haidong Cao, Wenjun Cao, Quanhao Li et al. · 0 citations