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From the 2 of 23 linked papers with an AI index.

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cs.RO2026

X-NavDP: Generalizing Navigation Diffusion Policy to Novel Behavior and Embodiments with Group Q-score Reweighted Matching

Tianyu Yang, Yiming Zeng, Wenzhe Cai +5

The paper introduces X-NavDP, a diffusion-based visual navigation policy that is fine‑tuned with a novel Group Q-score Reweighted Matching (GQRM) reinforcement learning framework t…

cs.RO2026

Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation

Jiaqi Peng, Xiqian Yu, Delin Feng +10

While recent Vision-Language-Action (VLA) models show promise toward generalist manipulation policies, they struggle with long-horizon tasks due to their Markovian nature-relying s…

cs.RO2026

InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization

Haoxiang Ma, Junhao Cai, Xiaoxu Xu +26

Unified models for robot manipulation aim to equip one policy with both the semantic priors of pretrained VLMs and the physical dynamics learned through future prediction. In pract…

cs.RO2026

ReactiveBFM: Reactive Closed-Loop Motion Planning Towards Universal Humanoid Whole-Body Control

Xiao Chen, Weishuai Zeng, Xiaojie Niu +12

While current Behavior Foundation Models (BFMs) provide robust control priors for humanoids, they only execute pre-defined reference motions. As a result, they are vulnerable to en…

cs.RO2026

EBench: Elemental Diagnosis of Generalist Mobile Manipulation Policies

Ning Gao, Jinliang Zheng, Xing Gao +22

We present EBench, a simulation benchmark that diagnoses generalist mobile manipulation policies beyond a single success-rate scalar. EBench comprises 26 diverse and challenging ma…

cs.RO2026

InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation

Shuai Yang, Hao Li, Bin Wang +7

To operate effectively in the real world, robots should integrate multimodal reasoning with precise action generation. However, existing vision-language-action (VLA) models often s…