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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

CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos

Chubin Zhang, Jianan Wang, Zifeng Gao +5

Generalist Vision-Language-Action models remain constrained by the scarcity of robotic data relative to the abundance of human video demonstrations. Existing Latent Action Models a…

cs.RO2026

When to Trust Imagination: Adaptive Action Execution for World Action Models

Rui Wang, Yue Zhang, Jiehong Lin +4

World Action Models (WAMs) have recently emerged as a promising paradigm for robotic manipulation by jointly predicting future visual observations and future actions. However, curr…

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…

cs.RO2025

Towards Human-level Intelligence via Human-like Whole-Body Manipulation

Guang Gao, Jianan Wang, Jinbo Zuo +9

Building general-purpose intelligent robots has long been a fundamental goal of robotics. A promising approach is to mirror the evolutionary trajectory of humans: learning through…