Fully Convolutional Grasp Detection Network with Oriented Anchor Box

6 March 2018

Papers citing "Fully Convolutional Grasp Detection Network with Oriented Anchor Box"

9 / 9 papers shown

Title
GoNet: An Approach-Constrained Generative Grasp Sampling Network Zehang Weng Haofei Lu Jens Lundell Danica Kragic 18 2 0 14 Mar 2023
Grasp Learning: Models, Methods, and Performance Robert W. Platt 21 23 0 09 Nov 2022
A Robotic Visual Grasping Design: Rethinking Convolution Neural Network with High-Resolutions Zhangli Zhou Shaochen Wang Ziyang Chen Mingyu Cai Z. Kan 21 3 0 15 Sep 2022
What You See is What You Grasp: User-Friendly Grasping Guided by Near-eye-tracking Shaochen Wang Wei Zhang Zhangli Zhou Jiaxi Cao Ziyang Chen Kang Chen Bin Li Z. Kan 19 6 0 13 Sep 2022
Learning suction graspability considering grasp quality and robot reachability for bin-picking Ping Jiang J. Oaki Yoshiyuki Ishihara J. Ooga Haifeng Han A. Sugahara S. Tokura Haruna Eto Kazuma Komoda Akihito Ogawa 13 18 0 04 Nov 2021
End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB Stefan Ainetter Friedrich Fraundorfer 9 121 0 12 Jul 2021
GKNet: grasp keypoint network for grasp candidates detection Ruinian Xu Fu-Jen Chu Patricio A. Vela 3DPC 22 37 0 16 Jun 2021
Real-Time Deep Learning Approach to Visual Servo Control and Grasp Detection for Autonomous Robotic Manipulation E. G. Ribeiro R. Q. Mendes V. Grassi 22 55 0 13 Oct 2020
Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation H. Zhu Yiting Li Fengjun Bai Wenjie Chen Xiaocong Li Jun Ma C. Teo P. Y. Tao Wei Lin 15 28 0 20 Aug 2020