Author

Pei-Ran Xu

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Preprint Oct 2026

TESS: LLM-guided Translation, Exploration, Simulation, and Search for Embodied Task Planning

In this work we focus on the problem of embodied task planning, which requires an agent to accomplish a complex task by separating it into atomic actions. Recent studies have developed LLM-based methods to address this problem. However, the executability and correctness of the generated plans remain suboptimal in compl...

Pei-Ran Xu, Yi-Xiang Yang, Jing-Han Li et al. · 0 citations

Jul 2026

UniETP: Unifying Environments for Generalizable Embodied Task Planning

UniETP is a unified interface integrating four commonly-used simulators integrating four commonly-used simulators that enhances task diversity and complexity across dimensions like task logic, instance grounding, and instruction understanding, constructing a new dataset with varied levels of difficulty in an automatic...

Pei-Ran Xu, Jiaqi Zheng, Zi-You Wang et al. · arXiv.org · 0 citations

Jul 2026

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories

Xiao-Robotics-1 serves as a strong robot foundation policy that can be efficiently fine-tuned on complex, dexterous tasks with high data efficiency and across multiple simulation benchmarks, Xiaomi-Robotics-1 outperforms state-of-the-art methods.

Xiaomin Guo, Piao-Piao Jin, Jason Li et al. · arXiv.org · 16 citations · ⚡2