Pixel-Reasoning-Based Robotics Fine Grasping for Novel Objects with Deep EDINet Structure.

Shi, Chaoquan; Miao, Chunxiao; Zhong, Xungao; Zhong, Xunyu; Hu, Huosheng; Liu, Qiang

Shi, Chaoquan; Miao, Chunxiao; Zhong, Xungao; Zhong, Xunyu; Hu, Huosheng; Liu, Qiang.

Afiliación

Shi C; School of Electrical Enginnering and Automation, Xiamen University of Technology, Xiamen 361024, China.
Miao C; School of Electrical Enginnering and Automation, Xiamen University of Technology, Xiamen 361024, China.
Zhong X; School of Electrical Enginnering and Automation, Xiamen University of Technology, Xiamen 361024, China.
Zhong X; School of Aerospace Engineering, Xiamen University, Xiamen 361005, China.
Hu H; School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK.
Liu Q; Department of Psychiatry, University of Oxford, Oxford OX1 2JD, UK.

Sensors (Basel) ; 22(11)2022 Jun 04.

Article en En | MEDLINE | ID: mdl-35684904

Asunto(s)

Fuerza de la Mano; Robótica; Redes Neurales de la Computación; Robótica/métodos

Palabras clave

EDINet deep network; pixel-level reasoning; robotics fine grasping

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Robótica / Fuerza de la Mano Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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