works on

From the 1 of 8 linked papers with an AI index.

activity
20242026
collaborators

8 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.RO2026

Extending Embodied Question Answering from Perception to Decision

Xicheng Gong, Qiwei Li, Peiran Xu +1

Embodied Question Answering (EQA) connects perception, reasoning, and interaction within embodied environments. However, existing datasets and benchmarks remain fragmented, each fo…

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…

cs.RO2026

ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic Manipulation

Hongyu Yan, Qiwei Li, Jiaolong Yang +1

Most existing vision-language-action (VLA) models for robotic manipulation lack progress awareness, typically relying on hand-crafted heuristics for task termination. This limitati…

cs.AR2025

DIRC-RAG: Accelerating Edge RAG with Robust High-Density and High-Loading-Bandwidth Digital In-ReRAM Computation

Kunming Shao, Zhipeng Liao, Jiangnan Yu +9

Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge retrieval but faces challenges on edge devices due to high storage, ene…