Qing Tang — accepted AI-conference papers

2026

HURC-MM: Holistic Uncertainty-Responsive Control for Mobile Manipulator Grasping

Shangkun Dai, Qing Tang, Maoxin Yang, Xiang Yang, Huafeng Chen, Qun Wang

RA-L 2026

We present a holistic uncertainty-responsive control system that enables mobile manipulators to perform human- like adaptive grasping by dynamically coordinating base-manipulator motion and uncertainty-aware decision-making. Our key innovations include: (1) a continuous visual monitoring strategy: D

Cited by 0 Source ↗Scholar ↗

2022

Language-Driven Robot Manipulation With Perspective Disambiguation and Placement Optimization

Kaixiang Huang, Yuxuan Han, Jinze Wu, Fangzhou Qiu, Qing Tang

RA-L 2022

Perspective ambiguity widely exists in human-robot interaction, especially in the language-driven robot manipulation. It is easy to place the object at a wrong position just because of different perspectives. Thus, placement location determination is required in language-driven robot manipulation. I

Cited by 9 Source ↗Scholar ↗