Probabilistic Learning of Human Manipulation of Objects towards Autonomous Robotic Grasping

Tese de doutoramento em Engenharia Electrotecnica, na especialidade de Instrumentacao e Controlo, apresentada ao Departamento de Engenharia Electrotecnica e de Computadores da Faculdade de Ciencias e Tecnologia da Universidade de Coimbra

[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..