Convolutional Residual Network for Grasp Localization
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[1] Honglak Lee,et al. Deep learning for detecting robotic grasps , 2013, Int. J. Robotics Res..
[2] Jürgen Schmidhuber,et al. Highway Networks , 2015, ArXiv.
[3] Jason Jianjun Gu,et al. Robotic grasp detection using extreme learning machine , 2015, 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[4] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Stefan Ulbrich,et al. OpenGRASP: A Toolkit for Robot Grasping Simulation , 2010, SIMPAR.
[6] Danica Kragic,et al. Learning a dictionary of prototypical grasp-predicting parts from grasping experience , 2013, 2013 IEEE International Conference on Robotics and Automation.
[7] Lawrence D. Jackel,et al. Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.
[8] Quoc V. Le,et al. Learning to grasp objects with multiple contact points , 2010, 2010 IEEE International Conference on Robotics and Automation.
[9] Ashutosh Saxena,et al. Robotic Grasping of Novel Objects using Vision , 2008, Int. J. Robotics Res..
[10] Jeannette Bohg,et al. Leveraging big data for grasp planning , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[11] Joseph Redmon,et al. Real-time grasp detection using convolutional neural networks , 2014, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[12] Peter K. Allen,et al. Graspit! A versatile simulator for robotic grasping , 2004, IEEE Robotics & Automation Magazine.
[13] Oliver Brock,et al. Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems , 2016, Robotics: Science and Systems.
[14] Hong Liu,et al. Robot grasp detection using multimodal deep convolutional neural networks , 2016 .
[15] Sergey Levine,et al. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection , 2016, Int. J. Robotics Res..
[16] Brahim Chaib-draa,et al. Sparse Dictionary Learning for Identifying Grasp Locations , 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).
[17] Abhinav Gupta,et al. Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours , 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[18] Jian Sun,et al. Identity Mappings in Deep Residual Networks , 2016, ECCV.
[19] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[20] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Xiaoou Tang,et al. Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[23] Ashutosh Saxena,et al. Efficient grasping from RGBD images: Learning using a new rectangle representation , 2011, 2011 IEEE International Conference on Robotics and Automation.
[24] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[25] Ashutosh Saxena,et al. Robotic Grasping of Novel Objects , 2006, NIPS.
[26] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).