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From the 1 of 10 linked papers with an AI index.

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10 papers

cs.RO2026

Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model

Xinghang Li, Jun Guo, Qiwei Li +21

The paper introduces Xiaomi-Robotics-U0, a 38‑billion‑parameter multimodal autoregressive model that extends foundation image and video generation to embodied robotics, enabling co…

cs.LG2026

MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

Bohan Lyu, Yucheng Yang, Siqiao Huang +25

Modern AI progress has been driven by ML methods that are generalizable across settings and scalable to larger regimes. As large language models demonstrate advanced capabilities i…

cs.RO2026

Revisiting Embodied Chain-of-Thought for Generalizable Robot Manipulation

Nan Sun, Yuan Zhang, Yongkun Yang +10

Embodied chain-of-thought (CoT) aims to bridge linguistic reasoning and robotic control, but its effective form and integration strategy remain underexplored. In this paper, we rev…

cs.LG2026

Data Difficulty and the Generalization--Extrapolation Tradeoff in LLM Fine-Tuning

Siyuan Liu, Tinghong Chen, Xinghan Li +2

Data selection during supervised fine-tuning (SFT) can critically change the behavior of large language models (LLMs). Although existing work has studied the effect of selecting da…

cs.RO2026

RotVLA: Rotational Latent Action for Vision-Language-Action Model

Qiwei Li, Xicheng Gong, Xinghang Li +5

Latent Action Models (LAMs) have emerged as an effective paradigm for handling heterogeneous datasets during Vision-Language-Action (VLA) model pretraining, offering a unified acti…

cs.RO2026

Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising

Jun Guo, Qiwei Li, Peiyan Li +7

We propose X-WAM, a Unified 4D World Model that unifies real-time robotic action execution and high-fidelity 4D world synthesis (video + 3D reconstruction) in a single framework, a…