works on

From the 1 of 8 linked papers with an AI index.

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

1 citations · 1 across the 4 of their papers we have counts for

collaborators

8 papers

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

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

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.CV2026

InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts

Weipeng Zhong, Peizhou Cao, Yichen Jin +9

The advancement of Embodied AI heavily relies on large-scale, simulatable 3D scene datasets characterized by scene diversity and realistic layouts. However, existing datasets typic…

cs.RO2025

NavDP: Learning Sim-to-Real Navigation Diffusion Policy with Privileged Information Guidance

Wenzhe Cai, Jiaqi Peng, Yuqiang Yang +6

Learning to navigate in dynamic and complex open-world environments is a critical yet challenging capability for autonomous robots. Existing approaches often rely on cascaded modul…