collaborators

8 papers

cs.RO2026

Pelican-VLA 0.5: Attending Before Acting Benefits Generalization

Zeyuan Ding, Wenhai Liu, Yang Xu +6

In this report, we present Pelican-VLA 0.5, a unified VLA model that integrates vision-language understanding, future-frame generation, and action prediction within a single archit…

cs.CV2026

Holo-World: Unified Camera, Object and Weather Control for Video World Model

Xiangchen Yin, Wenzhang Sun, Jiahui Yuan +6

Video world models are moving toward preserving an observed world under controllable camera and object motion while allowing its environmental state to change. Yet these controls r…

cs.CV2026

Current World Models Lack a Persistent State Core

Jinpeng Lu, Dexu Zhu, Haoyuan Shi +8

World models are increasingly regarded as a decisive step toward artificial general intelligence, yet modeling the physical world demands more than rendering convincing frames on d…

cs.AI2026

VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior Tracing

Haoyuan Shi, Xiancong Ren, Yingji Zhang +9

Understanding how Vision-Language-Action (VLA) models transform multimodal knowledge into embodied control remains an open challenge. We present VLA-Trace, a progressive diagnostic…

cs.LG2026

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models

Jiaoyang Ruan, Xin Gao, Yinda Chen +5

While Diffusion Large Language Models (dLLMs) offer structural advantages for global planning, efficiently verifying that they arrive at correct answers via valid reasoning traces…

cs.RO2026

Pelican-Unify 1.0: A Unified Embodied Intelligence Model for Understanding, Reasoning, Imagination and Action

Yi Zhang, Yinda Chen, Che Liu +26

We present Pelican-Unify 1.0, the first embodied foundation model trained according to the principle of unification. Pelican-Unify 1.0 uses a single VLM as a unified understanding…