Adaptive Autonomous Grasp Selection via Pairwise Ranking
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[1] Tamim Asfour,et al. Integrated Grasp Planning and Visual Object Localization For a Humanoid Robot with Five-Fingered Hands , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[2] Tie-Yan Liu,et al. Learning to Rank for Information Retrieval , 2011 .
[3] Sonia Chernova,et al. A Comparison of Remote Robot Teleoperation Interfaces for General Object Manipulation , 2017, 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI.
[4] Peter K. Allen,et al. Graspit! A versatile simulator for robotic grasping , 2004, IEEE Robotics & Automation Magazine.
[5] Dieter Fox,et al. A large-scale hierarchical multi-view RGB-D object dataset , 2011, 2011 IEEE International Conference on Robotics and Automation.
[6] Markus Vincze,et al. Learning grasps with topographic features , 2015, Int. J. Robotics Res..
[7] Eyke Hüllermeier,et al. Preference Learning: An Introduction , 2010, Preference Learning.
[8] Robert Platt,et al. Using Geometry to Detect Grasp Poses in 3D Point Clouds , 2015, ISRR.
[9] Xinyu Liu,et al. Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics , 2017, Robotics: Science and Systems.
[10] Tie-Yan Liu,et al. Learning to rank: from pairwise approach to listwise approach , 2007, ICML '07.
[11] Peter K. Allen,et al. Semantic grasping: planning task-specific stable robotic grasps , 2014, Auton. Robots.
[12] James J. Kuffner,et al. OpenRAVE: A Planning Architecture for Autonomous Robotics , 2008 .
[13] Matei T. Ciocarlie,et al. Collaborative grasp planning with multiple object representations , 2011, 2011 IEEE International Conference on Robotics and Automation.
[14] Matei T. Ciocarlie,et al. The Columbia grasp database , 2009, 2009 IEEE International Conference on Robotics and Automation.
[15] 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).
[16] Stefanie Tellex,et al. Autonomously Acquiring Instance-Based Object Models from Experience , 2015, ISRR.
[17] T. Salakoski,et al. Learning to Rank with Pairwise Regularized Least-Squares , 2007 .
[18] Hang Li,et al. Ranking refinement and its application to information retrieval , 2008, WWW.
[19] Sonia Chernova,et al. Construction of a 3D object recognition and manipulation database from grasp demonstrations , 2016, Auton. Robots.
[20] Yoram Singer,et al. An Efficient Boosting Algorithm for Combining Preferences by , 2013 .
[21] Julie A. Shah,et al. Apprenticeship Scheduling: Learning to Schedule from Human Experts , 2016, IJCAI.
[22] Ricardo da Silva Torres,et al. Exploiting pairwise recommendation and clustering strategies for image re-ranking , 2012, Inf. Sci..
[23] Stefano Caselli,et al. Part-based robot grasp planning from human demonstration , 2011, 2011 IEEE International Conference on Robotics and Automation.
[24] Rüdiger Dillmann,et al. An automatic grasp planning system for service robots , 2009, 2009 International Conference on Advanced Robotics.
[25] Eric Brill,et al. Beyond PageRank: machine learning for static ranking , 2006, WWW '06.
[26] Rüdiger Dillmann,et al. The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics , 2012, Int. J. Robotics Res..
[27] Robert Platt,et al. Localizing Handle-Like Grasp Affordances in 3D Point Clouds , 2014, ISER.
[28] Daniel King,et al. Fetch & Freight : Standard Platforms for Service Robot Applications , 2016 .
[29] Ashutosh Saxena,et al. Efficient grasping from RGBD images: Learning using a new rectangle representation , 2011, 2011 IEEE International Conference on Robotics and Automation.
[30] S. Sathiya Keerthi,et al. Efficient algorithms for ranking with SVMs , 2010, Information Retrieval.
[31] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[32] Matei T. Ciocarlie,et al. Contact-reactive grasping of objects with partial shape information , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.