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From the 1 of 23 linked papers with an AI index.

most citedOpen-Vocabulary Object-Goal Navigation by Generalizing Semantic Mapping with Dense CLIP

1 citations · 1 across the 11 of their papers we have counts for

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cs.RO2026

StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling

Meng Wei, Chenyang Wan, Xiqian Yu +9

Vision-and-Language Navigation (VLN) in real-world settings requires agents to process continuous visual streams and generate actions with low latency grounded in language instruct…

cs.RO20261 cited

Open-Vocabulary Object-Goal Navigation by Generalizing Semantic Mapping with Dense CLIP

Meng Wei, Chenyang Wan, Tai Wang +6

Object-oriented embodied navigation tasks require agents to locate specific objects, either defined by category or images, in unseen environments. While recent methods have made pr…

cs.RO2026

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation

Shujie Zhang, Jingkun Yi, Weipeng Zhong +6

Recovering real-world scenes as interactive simulation environments can enable generalizable robot learning and reproducible policy evaluation. However, constructing scenes that ar…

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

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

SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds

Yunsong Zhou, Hangxu Liu, Xuekun Jiang +12

Robotic manipulation with deformable objects represents a data-intensive regime in embodied learning, where shape, contact, and topology co-evolve in ways that far exceed the varia…