Shugao Liu — accepted AI-conference papers

2025

Advancing Object-Goal Navigation through LLM-enhanced Object Affinities Transfer

Mengying Lin, Shugao Liu, Dingxi Zhang, Yaran Chen, Zhaoran Wang, Haoran Li +1

IROS 2025

Object-goal navigation requires mobile robots to efficiently locate targets with visual and spatial information, yet existing methods struggle with generalization in unseen environments. Heuristic approaches with naive metrics fail in complex layouts, while graph-based and learning-based methods suf

Cited by 7 Source ↗Scholar ↗

2025

ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy

Yuhui Chen, Shuai Tian, Shugao Liu, Yingting Zhou, Haoran Li, Dongbin Zhao

RSS 2025poster

Vision-Language-Action (VLA) models have shown substantial potential in real-world robotic manipulation. However, fine-tuning these models through supervised learning struggles to achieve robust performance due to limited, inconsistent demonstrations, especially in contact-rich environments. In this…

Cited by 6 PDF ↗code ↗Scholar ↗