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20242026
most citedMOSS: A Large-scale Open Microscopic Traffic Simulation System

1 citations · 1 across the 17 of their papers we have counts for

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cs.RO2026

UniW(A)M: A Unified Mixture-of-Experts Framework for World and World-Action Models

Jingbo Xu, Jianjie Fang, Zhuohang Li +9

World models (WMs) and world-action models (WAMs) focus on future world prediction and executable action generation, respectively. Although these models learn shared physical dynam…

cs.RO2026

TacWAM: Anchor-Guided World Action Model with Mechanics-Aware Tactile Prediction

Lei Jin, Yiding Ma, Xin Zhang +3

World Action Models (WAMs) combine future-state prediction with robot action generation, but existing approaches largely rely on visual futures. Visual prediction captures scene st…

cs.RO2026

WorldScape Policy 2.0: Empowering Steerable World Action Modeling with Reasoning-Augmented Memory and In-Context Learning

Haisheng Su, Zongdai Liu, Xin Jin +13

World Action Models (WAMs) offer a promising paradigm for robotic manipulation by jointly modeling visual state transitions and robot actions. However, existing WAMs are constraine…

cs.RO2026

Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control

Jianjie Fang, Yongyan Xu, Ziyou Wang +13

World models are rapidly becoming a core infrastructure for embodied intelligence and interactive agents: they provide controllable simulators in which agents can perceive, act, fo…

cs.RO2026

Dreaming when Necessary: Advancing World Action Models with Adaptive Multi-Modal Reasoning

Yinzhou Tang, Jingbo Xu, Yu Shang +4

World Action Models (WAMs) offer a promising approach to embodied intelligence, yet existing methods rely heavily on video prediction as action priors and lack adaptive multimodal…

cs.RO2026

WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation

Baining Zhao, Jiacheng Xu, Weicheng Feng +13

Aerial vision-language navigation (VLN) requires agents to follow natural-language instructions through closed-loop perception and action in 3D environments. We argue that aerial V…

cs.RO2026

Aerial World Model for Long-horizon Visual Generation and Navigation in 3D Space

Weichen Zhang, Peizhi Tang, Xin Zeng +12

Unmanned aerial vehicles (UAVs) have emerged as powerful embodied agents. One of the core abilities is autonomous navigation in large-scale three-dimensional environments. Existing…