Perceiving, learning, and exploiting object affordances for autonomous pile manipulation

[1]  J. Bagnell,et al.  Perceiving, learning, and exploiting object affordances for autonomous pile manipulation , 2014, Autonomous Robots.

[2]  James M. Rehg,et al.  Learning contact locations for pushing and orienting unknown objects , 2013, 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids).

[3]  Oliver Kroemer,et al.  Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments , 2013, 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids).

[4]  J. Andrew Bagnell,et al.  Clearing a pile of unknown objects using interactive perception , 2013, 2013 IEEE International Conference on Robotics and Automation.

[5]  Zoltan-Csaba Marton,et al.  Tracking-based interactive segmentation of textureless objects , 2013, 2013 IEEE International Conference on Robotics and Automation.

[6]  Martial Hebert,et al.  An integrated system for autonomous robotics manipulation , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Emre Ugur,et al.  Self-discovery of motor primitives and learning grasp affordances , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  James M. Rehg,et al.  Guided pushing for object singulation , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  J. Andrew Bagnell,et al.  Robust Object Grasping using Force Compliant Motion Primitives , 2012, Robotics: Science and Systems.

[10]  Dieter Fox,et al.  Interactive singulation of objects from a pile , 2012, 2012 IEEE International Conference on Robotics and Automation.

[11]  Gaurav S. Sukhatme,et al.  Using manipulation primitives for brick sorting in clutter , 2012, 2012 IEEE International Conference on Robotics and Automation.

[12]  Marc Toussaint,et al.  Planning with Noisy Probabilistic Relational Rules , 2010, J. Artif. Intell. Res..

[13]  Shao-Wen Yang,et al.  RANSAC matching: Simultaneous registration and segmentation , 2010, 2010 IEEE International Conference on Robotics and Automation.

[14]  Quoc V. Le,et al.  Learning to grasp objects with multiple contact points , 2010, 2010 IEEE International Conference on Robotics and Automation.

[15]  C. J. Taylor,et al.  Segmentation and Analysis of RGB-D data , 2010 .

[16]  Danica Kragic,et al.  Learning grasping affordance using probabilistic and ontological approaches , 2009, 2009 International Conference on Advanced Robotics.

[17]  Siddhartha S. Srinivasa,et al.  CHOMP: Gradient optimization techniques for efficient motion planning , 2009, 2009 IEEE International Conference on Robotics and Automation.

[18]  Oliver Brock,et al.  Interactive segmentation for manipulation in unstructured environments , 2009, 2009 IEEE International Conference on Robotics and Automation.

[19]  三嶋 博之 The theory of affordances , 2008 .

[20]  Oliver Brock,et al.  Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation , 2008, Robotics: Science and Systems.

[21]  Oliver Brock,et al.  Manipulating articulated objects with interactive perception , 2008, 2008 IEEE International Conference on Robotics and Automation.

[22]  Rustam Stolkin,et al.  An EM/E-MRF algorithm for adaptive model based tracking in extremely poor visibility , 2008, Image Vis. Comput..

[23]  Ashutosh Saxena,et al.  Robotic Grasping of Novel Objects using Vision , 2008, Int. J. Robotics Res..

[24]  Jianhua Wang,et al.  3D Motion Segmentation from Straight-Line Optical Flow , 2007, MCAM.

[25]  René Vidal,et al.  Segmenting Motions of Different Types by Unsupervised Manifold Clustering , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[26]  Nasser M. Nasrabadi,et al.  Pattern Recognition and Machine Learning , 2006, Technometrics.

[27]  Christopher M. Bishop,et al.  Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .

[28]  Jean Ponce,et al.  Computer Vision: A Modern Approach , 2002 .

[29]  Dorin Comaniciu,et al.  Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[30]  Thorsten Joachims,et al.  Making large scale SVM learning practical , 1998 .