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20242026
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11 papers · 1 filter

cs.RO2026

DreamWAM: Beyond RGB Future Prediction for World Action Models

Shanglin Yuan, Weiheng Zhao, Xin Shi +6

World Action Models (WAMs) learn action-relevant representations by predicting how the observed world will evolve. Most existing WAMs define this future in RGB space, where task-re…

cs.RO2026

EA-Nav: Learning Safe Visual Navigation Policies with Embodiment Awareness

Jialu Zhang, Yong Du, Xianda Guo +6

Cross-embodiment navigation is a key challenge in embodied intelligence. Due to differences in embodiment, the same visual observation may imply different actions for different age…

cs.RO2026

SkillNav: Score-Level Skill Intervention for Zero-Shot Object Goal Navigation

Ruijie Sang, Yiqun Duan, Pinhan Fu +3

Vision-Language Model (VLM) agents have advanced zero-shot object-goal navigation, yet single-frame reasoning leaves them without the cross-step behavioral awareness an embodied na…

cs.RO2026

TrustVLA: Mechanism-Guided Inference-Time Defense Against Vision-Language-Action Backdoors

Pinhan Fu, Xianda Guo, Xuetao Li +5

Vision-Language-Action (VLA) models are deployed through pipelines that end users cannot audit, and a poisoned VLA can behave normally on clean observations while a small visual tr…

cs.RO2026

Humanoid-OmniOcc: Stereo-Based Full-View Occupancy Dataset for Embodied AI

Xianda Guo, Bohao Zhang, Chenwei Huang +6

Occupancy prediction at voxel-level granularity is essential for safe robotic navigation and interaction in complex environments. Existing occupancy datasets, however, are predomin…

cs.RO2026

ReactSim-Bench: Benchmarking Reactive Behavior World Model Simulation in Autonomous Driving

Zhiyuan Zhang, Yanlun Peng, Jianing Zhang +7

Reactive capability is a key property of data-driven behavior world model simulators for autonomous driving simulation systems. With this capability, simulated world agents can res…