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.RO2026

Feasibility-Guided Planning over Multi-Specialized Locomotion Policies

Ying-Sheng Luo, Lu-Ching Wang, Hanjaya Mandala +6

Planning over unstructured terrain presents a significant challenge in the field of legged robotics. Although recent works in reinforcement learning have yielded various locomotion…

cs.CV2026

SceneFoundry: Generating Interactive Infinite 3D Worlds

ChunTeng Chen, YiChen Hsu, YiWen Liu +5

The ability to automatically generate large-scale, interactive, and physically realistic 3D environments is crucial for advancing robotic learning and embodied intelligence. Howeve…

cs.CV2025

FROSS: Faster-than-Real-Time Online 3D Semantic Scene Graph Generation from RGB-D Images

Hao-Yu Hou, Chun-Yi Lee, Motoharu Sonogashira +1

The ability to abstract complex 3D environments into simplified and structured representations is crucial across various domains. 3D semantic scene graphs (SSGs) achieve this by re…

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…