Probabilistic Learning of Human Manipulation of Objects towards Autonomous Robotic Grasping
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[1] Azriel Rosenfeld,et al. From volumes to views: An approach to 3-D object recognition , 1992, CVGIP Image Underst..
[2] R L Klatzky,et al. Identifying objects by touch: An “expert system” , 1985, Perception & psychophysics.
[3] Jianwei Zhang,et al. Learning of demonstrated grasping skills by stereoscopic tracking of human head configuration , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[4] Hans P. Moravec. Sensor Fusion in Certainty Grids for Mobile Robots , 1988, AI Mag..
[5] Joonki Paik,et al. Simple and efficient algorithm for part decomposition of 3-D triangulated models based on curvature analysis , 2002, Proceedings. International Conference on Image Processing.
[6] Leif Kobbelt,et al. Extraction of feature lines on triangulated surfaces using morphological operators , 2000 .
[7] A. Fagg,et al. Learning Grasp Affordances Through Human Demonstration , 2008 .
[8] Franc Solina,et al. Superquadrics for Segmenting and Modeling Range Data , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[9] Wolfram Burgard,et al. Tactile Sensing for Mobile Manipulation , 2011, IEEE Transactions on Robotics.
[10] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[11] S. Chiba,et al. Dynamic programming algorithm optimization for spoken word recognition , 1978 .
[12] Anshuman Razdan,et al. A Hybrid Approach to Feature Segmentation of 3-Dimensional Meshes , 2001 .
[13] T. Asfour,et al. A Framework for Visually guided Haptic Exploration with Five Finger Hands , 2007 .
[14] Rui P. Rocha,et al. Exploring information theory for vision-based volumetric mapping , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[15] I. Biederman. Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.
[16] Stefan Schaal,et al. Learning and generalization of motor skills by learning from demonstration , 2009, 2009 IEEE International Conference on Robotics and Automation.
[17] Anis Sahbani,et al. A new strategy combining empirical and analytical approaches for grasping unknown 3D objects , 2010, Robotics Auton. Syst..
[18] Heinz Wörn,et al. Haptic object recognition using passive joints and haptic key features , 2010, 2010 IEEE International Conference on Robotics and Automation.
[19] M. Jeannerod. The timing of natural prehension movements. , 1984, Journal of motor behavior.
[20] Jiawei Li,et al. On Computing Three-Finger Force-Closure Grasps , 2003 .
[21] L. Jakobson,et al. A neurological dissociation between perceiving objects and grasping them , 1991, Nature.
[22] M. Jeannerod,et al. Measuring time to awareness , 1991, Neuroreport.
[23] Susan J. Lederman,et al. Intelligent exploration by the human hand , 1990 .
[24] Tsukasa Ogasawara,et al. Recognition of in-hand manipulation using contact state transition for multifingered robot hand control , 2008, Robotics Auton. Syst..
[25] R. Alami,et al. Grasp Planning for Non-Convex Objects , 2005 .
[26] Christian Cipriani,et al. Roughness Encoding for Discrimination of Surfaces in Artificial Active-Touch , 2011, IEEE Transactions on Robotics.
[27] Danica Kragic,et al. Spatio-temporal modeling of grasping actions , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[28] Máximo A. Roa,et al. Geometrical approach for grasp synthesis on discretized 3d objects , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[29] Thomas Feix,et al. A comprehensive grasp taxonomy , 2009 .
[30] H. Bülthoff,et al. Viewpoint Dependence in Visual and Haptic Object Recognition , 2001, Psychological science.
[31] Benoni B. Edin,et al. Prediction of object contact during grasping , 2008, Experimental Brain Research.
[32] Matei T. Ciocarlie,et al. Dimensionality reduction for hand-independent dexterous robotic grasping , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[33] Wray L. Buntine. Operations for Learning with Graphical Models , 1994, J. Artif. Intell. Res..
[34] Helge J. Ritter,et al. Situated robot learning for multi-modal instruction and imitation of grasping , 2004, Robotics Auton. Syst..
[35] Jorge Dias,et al. A Probabilistic Framework to Detect Suitable Grasping Regions on Objects , 2012, SyRoCo.
[36] Henrik I. Christensen,et al. Automatic grasp planning using shape primitives , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).
[37] Jorge Dias,et al. A hierarchical Bayesian framework for multimodal active perception , 2012, Adapt. Behav..
[38] J. F. Soechting,et al. Postural Hand Synergies for Tool Use , 1998, The Journal of Neuroscience.
[39] Danica Kragic,et al. Selection of robot pre-grasps using box-based shape approximation , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[40] R. Klatzky,et al. Hand movements: A window into haptic object recognition , 1987, Cognitive Psychology.
[41] Martin D. Levine,et al. 3D Part Segmentation Using Simulated Electrical Charge Distributions , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[42] Anis Sahbani,et al. Learning the natural grasping component of an unknown object , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[43] Ying Li,et al. A shape matching algorithm for synthesizing humanlike enveloping grasps , 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..
[44] Markus Vincze,et al. Efficient 3D Object Detection by Fitting Superquadrics to Range Image Data for Robot's Object Manipulation , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[45] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[46] Michael A. Arbib,et al. Schema design and implementation of the grasp-related mirror neuron system , 2002, Biological Cybernetics.
[47] Dan Ding,et al. An efficient algorithm for computing a 3D form-closure grasp , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).
[48] Peter K. Allen,et al. Grasp Planning via Decomposition Trees , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[49] Masayuki Nakajima,et al. Detection and evaluation of grasping positions for autonomous agents , 2005, 2005 International Conference on Cyberworlds (CW'05).
[50] Steven M. Finbeiner,et al. The Neural and Behavioral Organization of Goal-Directed Movements , 1989, The Yale Journal of Biology and Medicine.
[51] Hadi Aliakbarpour,et al. An efficient algorithm for extrinsic calibration between a 3D laser range finder and a stereo camera for surveillance , 2009, 2009 International Conference on Advanced Robotics.
[52] Sebastian Thrun,et al. Robotic mapping: a survey , 2003 .
[53] Peter K. Allen,et al. Graspit! A versatile simulator for robotic grasping , 2004, IEEE Robotics & Automation Magazine.
[54] Ryo Kurazume,et al. Detecting repeated motion patterns via Dynamic Programming using motion density , 2009, 2009 IEEE International Conference on Robotics and Automation.
[55] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[56] F. Solina,et al. A direct part-level segmentation of range images using volumetric models , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.
[57] Lijun Chen,et al. An efficient and robust algorithm for 3D mesh segmentation , 2006, Multimedia Tools and Applications.
[58] Franc Solina,et al. Segmentation and Recovery of Superquadrics , 2000, Computational Imaging and Vision.
[59] Danica Kragic,et al. Interactive grasp learning based on human demonstration , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[60] K. S. Arun,et al. Least-Squares Fitting of Two 3-D Point Sets , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[61] Danica Kragic,et al. Learning Actions from Observations , 2010, IEEE Robotics & Automation Magazine.
[62] Ashutosh Saxena,et al. Robotic Grasping of Novel Objects , 2006, NIPS.
[63] Anis Sahbani,et al. A hybrid approach for grasping 3D objects , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[64] H. Harry Asada,et al. The direct teaching of tool manipulation skills via the impedance identification of human motions , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.
[65] Mario Richtsfeld,et al. Grasping of Unknown Objects from a Table Top , 2008 .
[66] Mario Fernando Montenegro Campos,et al. Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[67] Maya R. Gupta,et al. Theory and Use of the EM Algorithm , 2011, Found. Trends Signal Process..
[68] Barr,et al. Superquadrics and Angle-Preserving Transformations , 1981, IEEE Computer Graphics and Applications.
[69] Dimitar Dimitrov,et al. On the efficient computation of independent contact regions for force closure grasps , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[70] J. Rett,et al. Human-robot interface with anticipatory characteristics based on Laban Movement Analysis and Bayesian models , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.
[71] Jorge Dias,et al. Probabilistic representation of 3D object shape by in-hand exploration , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[72] Jorge Dias,et al. Extracting data from human manipulation of objects towards improving autonomous robotic grasping , 2012, Robotics Auton. Syst..
[73] Kaspar Althoefer,et al. Friction Estimation Based Object Surface Classification for Intelligent Manipulation , 2022 .
[74] Danica Kragic,et al. Human-to-Robot Mapping of Grasps , 2008 .
[75] Van-Duc Nguyen,et al. Constructing stable grasps in 3D , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.
[76] Anshuman Razdan,et al. Improved Curvature Estimation for Watershed Segmentation of 3-Dimensional Meshes , 2001 .
[77] Ruzena Bajcsy,et al. Volumetric segmentation of range images of 3D objects using superquadric models , 1993 .
[78] Danica Kragic,et al. Learning grasping points with shape context , 2010, Robotics Auton. Syst..
[79] D. Knill,et al. The Bayesian brain: the role of uncertainty in neural coding and computation , 2004, Trends in Neurosciences.
[80] Manuel Lopes,et al. Learning Object Affordances: From Sensory--Motor Coordination to Imitation , 2008, IEEE Transactions on Robotics.
[81] Jorge Dias,et al. Probabilistic Approaches to Robotic Perception , 2014, Springer Tracts in Advanced Robotics.
[82] P. Bessière,et al. Common Bayesian Models for Common Cognitive Issues , 2010, Acta biotheoretica.
[83] Yunhui Liu. Computing n-Finger Form-Closure Grasps on Polygonal Objects , 2000, Int. J. Robotics Res..
[84] Haruhisa Kawasaki,et al. Virtual Robot Teaching Based on Motion Analysis and Hand Manipulability for Multi-Fingered Robot , 2009 .
[85] Mario Fernando Montenegro Campos,et al. Novelty detection and 3D shape retrieval using superquadrics and multi-scale sampling for autonomous mobile robots , 2010, 2010 IEEE International Conference on Robotics and Automation.
[86] Gerd Hirzinger,et al. Learning techniques in a dataglove based telemanipulation system for the DLR hand , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).
[87] Atilla Baskurt,et al. Segmentation and Superquadric Modeling of 3D Objects , 2003, WSCG.
[88] Tomás Svoboda,et al. A Convenient Multicamera Self-Calibration for Virtual Environments , 2005, Presence: Teleoperators & Virtual Environments.
[89] David A. Cohn,et al. Active Learning with Statistical Models , 1996, NIPS.
[90] Dan Ding,et al. Constructing 3D frictional form-closure grasps of polyhedral objects , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).
[91] Aude Billard,et al. On Learning, Representing, and Generalizing a Task in a Humanoid Robot , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[92] Allison M. Okamura,et al. Feature Detection for Haptic Exploration with Robotic Fingers , 2001, Int. J. Robotics Res..
[93] W. Förstner,et al. A Metric for Covariance Matrices , 2003 .
[94] H. Bülthoff,et al. Separate neural pathways for the visual analysis of object shape in perception and prehension , 1994, Current Biology.
[95] Miles C. Bowman,et al. Control strategies in object manipulation tasks , 2006, Current Opinion in Neurobiology.
[96] Alberto Elfes,et al. Using occupancy grids for mobile robot perception and navigation , 1989, Computer.
[97] François Ziegler. Elements of Differential Geometry I, II, III, IV, V , 2009 .
[98] H. Bülthoff,et al. Merging the senses into a robust percept , 2004, Trends in Cognitive Sciences.
[99] Alexandre Bernardino,et al. Towards Bayesian Grasp Optimization with Wrench Space Analysis , 2012 .
[100] Bernt Schiele,et al. Functional Object Class Detection Based on Learned Affordance Cues , 2008, ICVS.
[101] Parameterizing and creating new actions , 2012 .
[102] Ross T. Whitaker,et al. Partitioning 3D Surface Meshes Using Watershed Segmentation , 1999, IEEE Trans. Vis. Comput. Graph..
[103] Katsushi Ikeuchi,et al. Toward automatic robot instruction from perception-temporal segmentation of tasks from human hand motion , 1993, IEEE Trans. Robotics Autom..