activity
20232026
most citedLearning to Terminate in Object Navigation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Dynamic Context Adapters: Efficiently Infusing History into Vision-and-Language Models

Yuhang Song, Bor-Jiun Lin, Jiaxu Liu +3

Historical context integration presents a fundamental challenge for Vision-Language Models (VLMs) in sequential decision-making tasks. Current VLMs process visual inputs independen…

cs.RO2026

Optimizing Neurorobot Policy under Limited Demonstration Data through Preference Regret

Viet Dung Nguyen, Yuhang Song, Anh Nguyen +3

Robot reinforcement learning from demonstrations (RLfD) assumes that expert data is abundant; this is usually unrealistic in the real world given data scarcity as well as high coll…

cs.RO2026

GuideTWSI: A Diverse Tactile Walking Surface Indicator Dataset from Synthetic and Real-World Images for Blind and Low-Vision Navigation

Hochul Hwang, Soowan Yang, Anh N. H. Nguyen +6

Tactile Walking Surface Indicators (TWSIs) are safety-critical landmarks that blind and low-vision (BLV) pedestrians use to locate crossings and hazard zones. From our observation…

cs.CV2024

Fine-Grained Alignment in Vision-and-Language Navigation through Bayesian Optimization

Yuhang Song, Mario Gianni, Chenguang Yang +4

This paper addresses the challenge of fine-grained alignment in Vision-and-Language Navigation (VLN) tasks, where robots navigate realistic 3D environments based on natural languag…

cs.RO2023★ 1 cited

Learning to Terminate in Object Navigation

Yuhang Song, Anh Nguyen, Chun-Yi Lee

This paper tackles the critical challenge of object navigation in autonomous navigation systems, particularly focusing on the problem of target approach and episode termination in…