Dongying Tian — accepted AI-conference papers

2023

FunctionalGrasp: Learning Functional Grasp for Robots via Semantic Hand-Object Representation

Yibiao Zhang, Jinglue Hang, Tianqiang Zhu, Xiangbo Lin, Rina Wu, Wanli Peng +2

RA-L 2023

Successful grasp is an important and long-standing issue for robots to interact with the real world. Most recent studies have devoted more attention to stable grasp rather than functional grasp, which cannot guarantee task-oriented postgrasp manipulation. To achieve human-like functional grasp, a se

Cited by 27 Source ↗code ↗Scholar ↗

2017

Deep learning of directional truncated signed distance function for robust 3D object recognition

Hongsen Liu, Yang Cong, Shuai Wang, Huijie Fan, Dongying Tian, Yandong Tang

IROS 2017poster

In this paper, we develop a novel 3D object recognition algorithm to perform detection and pose estimation jointly. We focus on analyzing the advantages of the 3D point cloud relative to the RGB-D image and try to eliminate the unpredictability of output values that inevitably occurs in regression t…

Cited by 14 Source ↗Scholar ↗