Optimizing for what matters: The top grasp hypothesis
暂无分享,去创建一个
Stefan Schaal | Jeannette Bohg | Daniel Kappler | S. Schaal | Jeannette Bohg | Daniel Kappler | J. Bohg
[1] Klaus Obermayer,et al. Support vector learning for ordinal regression , 1999 .
[2] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[3] Peter K. Allen,et al. An SVM learning approach to robotic grasping , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[4] Gregory N. Hullender,et al. Learning to rank using gradient descent , 2005, ICML.
[5] Tie-Yan Liu,et al. Learning to rank: from pairwise approach to listwise approach , 2007, ICML '07.
[6] Ashutosh Saxena,et al. Robotic Grasping of Novel Objects using Vision , 2008, Int. J. Robotics Res..
[7] Stefan Schaal,et al. Learning locomotion over rough terrain using terrain templates , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[8] Takeo Kanade,et al. Automated Construction of Robotic Manipulation Programs , 2010 .
[9] Quoc V. Le,et al. Learning to grasp objects with multiple contact points , 2010, 2010 IEEE International Conference on Robotics and Automation.
[10] Ashutosh Saxena,et al. Efficient grasping from RGBD images: Learning using a new rectangle representation , 2011, 2011 IEEE International Conference on Robotics and Automation.
[11] Luc Van Gool,et al. Branch&Rank: Non-Linear Object Detection , 2011, BMVC.
[12] Larry H. Matthies,et al. End-to-end dexterous manipulation with deliberate interactive estimation , 2012, 2012 IEEE International Conference on Robotics and Automation.
[13] J. Andrew Bagnell,et al. Robust Object Grasping using Force Compliant Motion Primitives , 2012, Robotics: Science and Systems.
[14] Yichuan Tang,et al. Deep Learning using Linear Support Vector Machines , 2013, 1306.0239.
[15] Danica Kragic,et al. Data-Driven Grasp Synthesis—A Survey , 2013, IEEE Transactions on Robotics.
[16] Gaurav S. Sukhatme,et al. An autonomous manipulation system based on force control and optimization , 2014, Auton. Robots.
[17] Alexander Herzog,et al. Learning of grasp selection based on shape-templates , 2014, Auton. Robots.
[18] Honglak Lee,et al. Deep learning for detecting robotic grasps , 2013, Int. J. Robotics Res..
[19] Jeannette Bohg,et al. Leveraging big data for grasp planning , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[20] Joseph Redmon,et al. Real-time grasp detection using convolutional neural networks , 2014, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[21] Stefan Schaal,et al. Exemplar-based prediction of global object shape from local shape similarity , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).