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From the 2 of 16 linked papers with an AI index.

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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

The paper introduces TrustVLA, an inference-time defense that detects and mitigates visual backdoor triggers in vision‑language‑action models by monitoring epistemic uncertainty an…

cs.RO2026

dVLA-RL: Reinforcement Learning over Denoising Trajectories for Discrete Diffusion Vision-Language-Action Models

Yuhao Wu, Yitian Liu, Weijie Shen +13

Vision-Language-Action (VLA) models have established a powerful paradigm for generalist robotic manipulation by grounding control into the semantic reasoning of VLMs. Prevailing ar…

cs.RO2026

HoloAgent-0: A Unified Embodied Agent Framework with 3D Spatial Memory

Xiaolin Zhou, Liu Liu, Tingyang Xiao +9

LLM agents follow a practical execution loop in digital environments: they reason over structured states, invoke tools, inspect feedback, and revise actions. Extending this loop to…

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…