Work

RIGNet: Robot Intention Grasp for Dense Stacked Targets With Multi-Task Siamese Schema Through RoIs Learning

Year: 2024

Type: article

Source: IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/tase.2024.3522625

Authors: Xungao Zhong, Tao Gong, Junzhi Yu, Chengxian Zhou, Xunyu Zhong, Qiang Liu

Institutions: Xiamen University, Xiamen University of Technology, Peking University, State Key Laboratory of Turbulence and Complex Systems, University of Bristol

Language: English

Topic: Robot Manipulation and Learning

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: Youth Innovation Foundation of Xiamen, National Natural Science Foundation of China, Natural Science Foundation of Fujian Province

Awards: G5450095486, G5713711312, G5723649068, 机器人语义可供性的抓取姿态协同建模及应用研究, G8670534201

OpenAlex ID: W4405933963

FWCI: 0.471

Cites: 36

Cited by: 3

Related to: 10