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From the 2 of 9 linked papers with an AI index.

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cs.RO2026

A Glimpse into Long-term Physical Coexistence with Intelligent Robots

Weiqi Jin, Peijun Tang, Kuncheng Luo +5

The paper presents PHILIA, a modular multi‑robot system that separates high‑level reasoning from low‑level robot execution via a robot‑gateway interface, enabling long‑term, person…

cs.RO2026

Towards Predictive, Aligned, and Scalable Robot Learning

Peijun Tang, Shangjin Xie, Baifu Huang +6

The paper introduces Lumo-2, a latent world-action model that reasons about future physical dynamics in a shared latent space to generate robot actions, using a multi‑stage alignme…

cs.RO2026

Vec-QMDP: Vectorized POMDP Planning on CPUs for Real-Time Autonomous Driving

Xuanjin Jin, Yanxin Dong, Bin Sun +4

Planning under uncertainty for real-world robotics tasks, such as autonomous driving, requires reasoning in enormous high-dimensional belief spaces, rendering the problem computati…

cs.RO2026

Uni-World VLA: Interleaved World Modeling and Planning for Autonomous Driving

Qiqi Liu, Huan Xu, Jingyu Li +5

Autonomous driving requires reasoning about how the environment evolves and planning actions accordingly. Existing world-model-based approaches typically predict future scenes firs…

cs.RO2026

From Representational Complementarity to Dual Systems: Synergizing VLM and Vision-Only Backbones for End-to-End Driving

Sining Ang, Yuguang Yang, Chenxu Dang +8

Vision-Language-Action (VLA) driving augments end-to-end (E2E) planning with language-enabled visual backbones, yet it remains unclear how vision-language models (VLMs) differ from…

cs.RO2025

Mind to Hand: Purposeful Robotic Control via Embodied Reasoning

Peijun Tang, Shangjin Xie, Binyan Sun +5

Humans act with context and intention, with reasoning playing a central role. While internet-scale data has enabled broad reasoning capabilities in AI systems, grounding these abil…