Data-driven grasping

This paper propose a novel framework for a data driven grasp planner that indexes partial sensor data into a database of 3D models with known grasps and transfers grasps from those models to novel objects. We show how to construct such a database and also demonstrate multiple methods for matching into it, aligning the matched models with the known sensor data of the object to be grasped, and selecting an appropriate grasp to use. Our approach is experimentally validated in both simulated trials and trials with robots.

[1]  P. Jaccard,et al.  Etude comparative de la distribution florale dans une portion des Alpes et des Jura , 1901 .

[2]  R. A. Leibler,et al.  On Information and Sufficiency , 1951 .

[3]  J. Napier.  The prehensile movements of the human hand. , 1956, The Journal of bone and joint surgery. British volume.

[4]  D. Marquardt.  An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[5]  H. Blum.  Biological shape and visual science. I. , 1973, Journal of theoretical biology.

[6]  Gerard Salton,et al.  Mathematics and Information Retrieval , 1979, J. Documentation.

[7]  Berthold K. P. Horn.  Extended Gaussian images , 1984, Proceedings of the IEEE.

[8]  I. Biederman.  Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.

[9]  Terrance E. Boult,et al.  Error Of Fit Measures For Recovering Parametric Solids , 1988, [1988 Proceedings] Second International Conference on Computer Vision.

[10]  Gerard Salton,et al.  Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..

[11]  C. Hofsten,et al.  Preparation for grasping an object: a developmental study. , 1988, Journal of experimental psychology. Human perception and performance.

[12]  Mark R. Cutkosky,et al.  On grasp choice, grasp models, and the design of hands for manufacturing tasks , 1989, IEEE Trans. Robotics Autom..

[13]  Kenneth S. Roberts,et al.  Haptic object recognition using a multi-fingered dextrous hand , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[14]  Jan J. Koenderink,et al.  Solid shape , 1990 .

[15]  Gerhard W. Dueck,et al.  Threshold accepting: a general purpose optimization algorithm appearing superior to simulated anneal , 1990 .

[16]  L. Jakobson,et al.  A neurological dissociation between perceiving objects and grasping them , 1991, Nature.

[17]  Katsushi Ikeuchi,et al.  Determining 3-D object pose using the complex extended Gaussian image , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[18]  John F. Canny,et al.  Planning optimal grasps , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[19]  Irving Biederman,et al.  Visual object recognition , 1993 .

[20]  M. Jeannerod,et al.  Impairment of grasping movements following a bilateral posterior parietal lesion , 1994, Neuropsychologia.

[21]  L. Jakobson,et al.  Differences in the visual control of pantomimed and natural grasping movements , 1994, Neuropsychologia.

[22]  Peter Schröder,et al.  Spherical wavelets: efficiently representing functions on the sphere , 1995, SIGGRAPH.

[23]  Karun B. Shimoga,et al.  Robot Grasp Synthesis Algorithms: A Survey , 1996, Int. J. Robotics Res..

[24]  Nancy S. Pollard,et al.  Synthesizing grasps from generalized prototypes , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[25]  Andrew E. Johnson,et al.  Surface registration by matching oriented points , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).

[26]  Franc Solina,et al.  Superquadrics for Segmenting and Modeling Range Data , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[27]  Sameer A. Nene,et al.  A simple algorithm for nearest neighbor search in high dimensions , 1997 .

[28]  J. F. Soechting,et al.  Postural Hand Synergies for Tool Use , 1998, The Journal of Neuroscience.

[29]  R S Johansson,et al.  Sensory input and control of grip. , 1998, Novartis Foundation symposium.

[30]  Hongbin Zha,et al.  A Recursive Fitting-and-Splitting Algorithm for 3-D Object Modeling Based on Superquadrics , 1998, ACCV.

[31]  Chris Lovchik,et al.  The Robonaut hand: a dexterous robot hand for space , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[32]  Andrew W. Fitzgibbon,et al.  Bundle Adjustment - A Modern Synthesis , 1999, Workshop on Vision Algorithms.

[33]  Nikolaos Canterakis,et al.  3D Zernike Moments and Zernike Affine Invariants for 3D Image Analysis and Recognition , 1999 .

[34]  Masayuki Nakajima,et al.  Database guided computer animation of human grasping using forward and inverse kinematics , 1999, Comput. Graph..

[35]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[36]  Peter J. Kyberd.  The intelligent hand , 2000 .

[37]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[38]  Franc Solina,et al.  Segmentation and Recovery of Superquadrics , 2000, Computational Imaging and Vision.

[39]  Vijay Kumar,et al.  Robotic grasping and contact: a review , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[40]  Serge J. Belongie,et al.  Matching with shape contexts , 2000, 2000 Proceedings Workshop on Content-based Access of Image and Video Libraries.

[41]  Marc Levoy,et al.  Efficient variants of the ICP algorithm , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[42]  Taku Komura,et al.  Topology matching for fully automatic similarity estimation of 3D shapes , 2001, SIGGRAPH.

[43]  Dietmar Saupe,et al.  3D Model Retrieval with Spherical Harmonics and Moments , 2001, DAGM-Symposium.

[44]  Francoise J. Preteux,et al.  3D-shape-based retrieval within the MPEG-7 framework , 2001, IS&T/SPIE Electronic Imaging.

[45]  Patrick J. Flynn,et al.  A Survey Of Free-Form Object Representation and Recognition Techniques , 2001, Comput. Vis. Image Underst..

[46]  Bernard Chazelle,et al.  Matching 3D models with shape distributions , 2001, Proceedings International Conference on Shape Modeling and Applications.

[47]  M. Vasmi Abidi,et al.  Laser ranging and video imaging for bin picking Faysal , 2002 .

[48]  Ming Ouhyoung,et al.  A 3D Object Retrieval System Based on Multi-Resolution Reeb Graph , 2002 .

[49]  Ales Jaklic,et al.  Fast Recovery of Piled Deformable Objects Using Superquadrics , 2002, DAGM-Symposium.

[50]  Richard Szeliski,et al.  Vision Algorithms: Theory and Practice , 2002, Lecture Notes in Computer Science.

[51]  Daniel A. Keim,et al.  Methods for similarity search on 3D databases , 2002 .

[52]  Robert Platt,et al.  Nullspace composition of control laws for grasping , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[53]  Michael S. Landy,et al.  Visual perception of texture , 2002 .

[54]  Bernard Chazelle,et al.  Shape distributions , 2002, TOGS.

[55]  David P. Dobkin,et al.  A search engine for 3D models , 2003, TOGS.

[56]  Marcel Körtgen,et al.  3D Shape Matching with 3D Shape Contexts , 2003 .

[57]  Henrik I. Christensen,et al.  Automatic grasp planning using shape primitives , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[58]  Ronald Lumia,et al.  Manipulation of unmodeled objects using intelligent grasping schemes , 2003, IEEE Trans. Fuzzy Syst..

[59]  Bernard Chazelle,et al.  A Reflective Symmetry Descriptor for 3D Models , 2003, Algorithmica.

[60]  Dejan V. VraniC.  An improvement of rotation invariant 3D-shape based on functions on concentric spheres , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[61]  Michael Vande Weghe,et al.  An extensor mechanism for an anatomical robotic hand , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[62]  R. Sivamani,et al.  Coefficient of friction: tribological studies in man – an overview , 2003, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[63]  Yan Zhang.  Experimental comparison of superquadric fitting objective functions , 2003, Pattern Recognit. Lett..

[64]  Marcin Novotni,et al.  3D zernike descriptors for content based shape retrieval , 2003, SM '03.

[65]  Ron Kimmel,et al.  On Bending Invariant Signatures for Surfaces , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[66]  Martial Hebert,et al.  Fully automatic registration of multiple 3D data sets , 2003, Image Vis. Comput..

[67]  Sven J. Dickinson,et al.  Skeleton based shape matching and retrieval , 2003, 2003 Shape Modeling International..

[68]  Atilla Baskurt,et al.  Segmentation and Superquadric Modeling of 3D Objects , 2003, WSCG.

[69]  Szymon Rusinkiewicz,et al.  Rotation Invariant Spherical Harmonic Representation of 3D Shape Descriptors , 2003, Symposium on Geometry Processing.

[70]  Ming Ouhyoung,et al.  On Visual Similarity Based 3D Model Retrieval , 2003, Comput. Graph. Forum.

[71]  Andreas Schulz,et al.  A Human-Like Robot Hand and Arm with Fluidic Muscles: Biologically Inspired Construction and Functionality , 2003, Embodied Artificial Intelligence.

[72]  Karan Singh,et al.  Eurographics/siggraph Symposium on Computer Animation (2003) Handrix: Animating the Human Hand , 2003 .

[73]  Tony Tung,et al.  Augmented Reeb graphs for content-based retrieval of 3D mesh models , 2004, Proceedings Shape Modeling Applications, 2004..

[74]  Katsu Yamane,et al.  Synthesizing animations of human manipulation tasks , 2004, ACM Trans. Graph..

[75]  Thomas A. Funkhouser,et al.  The Princeton Shape Benchmark , 2004, Proceedings Shape Modeling Applications, 2004..

[76]  Pedram Afshar,et al.  Neural-based control of a robotic hand: evidence for distinct muscle strategies , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[77]  Szymon Rusinkiewicz,et al.  Shape matching and anisotropy , 2004, ACM Trans. Graph..

[78]  Ali Shokoufandeh,et al.  Shock Graphs and Shape Matching , 1998, International Journal of Computer Vision.

[79]  Andrew W. Moore,et al.  An Investigation of Practical Approximate Nearest Neighbor Algorithms , 2004, NIPS.

[80]  Jitendra Malik,et al.  Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons , 2001, International Journal of Computer Vision.

[81]  Chin Seng Chua,et al.  Point Signatures: A New Representation for 3D Object Recognition , 1997, International Journal of Computer Vision.

[82]  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.

[83]  Remco C. Veltkamp,et al.  A survey of content based 3D shape retrieval methods , 2004, Proceedings Shape Modeling Applications, 2004..

[84]  Thomas A. Funkhouser,et al.  A Comparison of Text and Shape Matching for Retrieval of Online 3 D Models with statistical significance testing , 2022 .

[85]  Leonidas J. Guibas,et al.  The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.

[86]  Peter K. Allen,et al.  Graspit! A versatile simulator for robotic grasping , 2004, IEEE Robotics & Automation Magazine.

[87]  Andrew Blake,et al.  "GrabCut" , 2004, ACM Trans. Graph..

[88]  Ron Meir,et al.  Semantic-oriented 3d shape retrieval using relevance feedback , 2005, The Visual Computer.

[89]  U. Castiello.  The neuroscience of grasping , 2005, Nature Reviews Neuroscience.

[90]  Richard Alan Peters,et al.  Uncovering manifold structures in Robonaut's sensory-data state space , 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

[91]  Ali Shokoufandeh,et al.  Retrieving Articulated 3-D Models Using Medial Surfaces and Their Graph Spectra , 2005, EMMCVPR.

[92]  Ryutarou Ohbuchi,et al.  Shape-similarity search of 3D models by using enhanced shape functions , 2005, Int. J. Comput. Appl. Technol..

[93]  Danica Kragic,et al.  Vision for robotic object manipulation in domestic settings , 2005, Robotics Auton. Syst..

[94]  Ruzena Bajcsy,et al.  Active Learning for Vision-Based Robot Grasping , 1996, Machine Learning.

[95]  Gil-Joo Park,et al.  EVALUATION OF KERNEL BASED METHODS FOR RELEVANCE FEEDBACK IN 3D SHAPE RETRIEVAL , 2005 .

[96]  BENJAMIN BUSTOS,et al.  Feature-based similarity search in 3D object databases , 2005, CSUR.

[97]  Igor Guskov,et al.  Multi-scale features for approximate alignment of point-based surfaces , 2005, SGP '05.

[98]  David W. Jacobs,et al.  Mesh saliency , 2005, ACM Trans. Graph..

[99]  Leonidas J. Guibas,et al.  Robust global registration , 2005, SGP '05.

[100]  Ying Li,et al.  A shape matching algorithm for synthesizing humanlike enveloping grasps , 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

[101]  Reinhard Klein,et al.  Correspondences between Salient Points on 3D Shapes , 2006 .

[102]  Alberto Del Bimbo,et al.  Content-based retrieval of 3D models , 2006, TOMCCAP.

[103]  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.

[104]  James Ze Wang,et al.  Toward bridging the annotation-retrieval gap in image search by a generative modeling approach , 2006, MM '06.

[105]  A planar-reflective symmetry transform for 3D shapes , 2006, ACM Trans. Graph..

[106]  Frédéric Jurie,et al.  Sampling Strategies for Bag-of-Features Image Classification , 2006, ECCV.

[107]  Ron Kimmel,et al.  Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[108]  Daniel Cohen-Or,et al.  Salient geometric features for partial shape matching and similarity , 2006, TOGS.

[109]  Donghui Wang,et al.  Matching 3D models with global geometric feature map , 2006, 2006 12th International Multi-Media Modelling Conference.

[110]  A.M. Dollar,et al.  A robust compliant grasper via shape deposition manufacturing , 2006, IEEE/ASME Transactions on Mechatronics.

[111]  Kostas Daniilidis,et al.  Fully Automatic Registration of 3D Point Clouds , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[112]  Markus Graf,et al.  The role of action representations in visual object recognition , 2006, Experimental Brain Research.

[113]  James J. Kuffner,et al.  Planning Among Movable Obstacles with Artificial Constraints , 2008, WAFR.

[114]  Antonio Morales,et al.  Vision-based three-finger grasp synthesis constrained by hand geometry , 2006, Robotics Auton. Syst..

[115]  Masayuki Nakajima,et al.  Spherical Wavelet Descriptors for Content-based 3D Model Retrieval , 2006, IEEE International Conference on Shape Modeling and Applications 2006 (SMI'06).

[116]  Michael G. Strintzis,et al.  3D Content-Based Search Based on 3D Krawtchouk Moments , 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).

[117]  Matei T. Ciocarlie,et al.  Dimensionality reduction for hand-independent dexterous robotic grasping , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[118]  David Fofi,et al.  A review of recent range image registration methods with accuracy evaluation , 2007, Image Vis. Comput..

[119]  O. C. Jenkins,et al.  2 D Subspaces for User-Driven Robot Grasping , 2007 .

[120]  Y. Zhang,et al.  Content-Based 3-D Model Retrieval: A Survey , 2007, IEEE Trans. Syst. Man Cybern. Part C.

[121]  Alexei A. Efros,et al.  Scene completion using millions of photographs , 2007, SIGGRAPH 2007.

[122]  Helge J. Ritter,et al.  Experience-based and tactile-driven dynamic grasp control , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[123]  Michael G. Strintzis,et al.  Information Processing , 1989 .

[124]  Thomas A. Funkhouser,et al.  Distinctive regions of 3D surfaces , 2007, TOGS.

[125]  Ariel Shamir,et al.  Pose-Oblivious Shape Signature , 2007, IEEE Transactions on Visualization and Computer Graphics.

[126]  Matei T. Ciocarlie,et al.  Soft Finger Model with Adaptive Contact Geometry for Grasping and Manipulation Tasks , 2007, Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC'07).

[127]  Delbert Dueck,et al.  Clustering by Passing Messages Between Data Points , 2007, Science.

[128]  Hao Zhang,et al.  A spectral approach to shape-based retrieval of articulated 3D models , 2007, Comput. Aided Des..

[129]  Stefano Caselli,et al.  Robot grasp synthesis from virtual demonstration and topology-preserving environment reconstruction , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[130]  A. Senkfor.  Memory for pantomimed actions versus actions with real objects , 2008, Cortex.

[131]  Ryutarou Ohbuchi,et al.  Salient local visual features for shape-based 3D model retrieval , 2008, 2008 IEEE International Conference on Shape Modeling and Applications.

[132]  Gary M. Bone,et al.  Automated modeling and robotic grasping of unknown three-dimensional objects , 2008, 2008 IEEE International Conference on Robotics and Automation.

[133]  Masanao Koeda,et al.  Shape recognition and grasping by robotic hands with soft fingers and omnidirectional camera , 2008, 2008 IEEE International Conference on Robotics and Automation.

[134]  Antonio Morales,et al.  Vision-based grasp planning of 3D objects by extending 2D contour based algorithms , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[135]  C.W. de Silva,et al.  Knowledge-based grasping of unknown objects in unstructured urban environments , 2008, 2008 IEEE International Conference on Automation and Logistics.

[136]  Antonio Torralba,et al.  Ieee Transactions on Pattern Analysis and Machine Intelligence 1 80 Million Tiny Images: a Large Dataset for Non-parametric Object and Scene Recognition , 2022 .

[137]  L. Vainio,et al.  On the relations between action planning, object identification, and motor representations of observed actions and objects , 2008, Cognition.

[138]  Lawson L. S. Wong,et al.  Learning Grasp Strategies with Partial Shape Information , 2008, AAAI.

[139]  Jing Xiao,et al.  Efficient and effective grasping of novel objects through learning and adapting a knowledge base , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[140]  Rüdiger Dillmann,et al.  Robust shape recovery for sparse contact location and normal data from haptic exploration , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

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

[142]  Paolo Dario,et al.  A bio-inspired predictive sensory-motor coordination scheme for robot reaching and preshaping , 2008, Auton. Robots.

[143]  Peter K. Allen,et al.  Autotagging to improve text search for 3D models , 2008, Shape Modeling International.

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

[145]  James J. Kuffner,et al.  OpenRAVE: A Planning Architecture for Autonomous Robotics , 2008 .

[146]  Danica Kragic,et al.  Minimum volume bounding box decomposition for shape approximation in robot grasping , 2008, 2008 IEEE International Conference on Robotics and Automation.

[147]  Philippe Martinet,et al.  Biologically-inspired 3D grasp synthesis based on visual exploration , 2008, Auton. Robots.

[148]  Siddhartha S. Srinivasa,et al.  Grasp synthesis in cluttered environments for dexterous hands , 2008, Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots.

[149]  Nicholas Roy,et al.  Probabilistic Models of Object Geometry for Grasp Planning , 2008, Robotics: Science and Systems.

[150]  Matei T. Ciocarlie,et al.  Biomimetic grasp planning for cortical control of a robotic hand , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[151]  Vincenzo Lippiello,et al.  Floating visual grasp of unknown objects , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[152]  Lucian Cosmin Goron,et al.  Reconstruction and Verification of 3D Object Models for Grasping , 2009, ISRR.

[153]  Matei T. Ciocarlie,et al.  Data-driven grasping with partial sensor data , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[154]  Danica Kragic,et al.  Grasping known objects with humanoid robots: A box-based approach , 2009, 2009 International Conference on Advanced Robotics.

[155]  Wolfram Burgard,et al.  Object identification with tactile sensors using bag-of-features , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[156]  Anis Sahbani,et al.  A hybrid approach for grasping 3D objects , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[157]  Siddhartha S. Srinivasa,et al.  Generality and Simple Hands , 2009, ISRR.

[158]  Siddhartha S. Srinivasa,et al.  Object recognition and full pose registration from a single image for robotic manipulation , 2009, 2009 IEEE International Conference on Robotics and Automation.

[159]  Ioannis Pratikakis,et al.  PANORAMA: A 3D Shape Descriptor Based on Panoramic Views for Unsupervised 3D Object Retrieval , 2010, International Journal of Computer Vision.

[160]  Matei T. Ciocarlie,et al.  The Columbia grasp database , 2009, 2009 IEEE International Conference on Robotics and Automation.

[161]  Dejan Pangercic,et al.  Real-time CAD model matching for mobile manipulation and grasping , 2009, 2009 9th IEEE-RAS International Conference on Humanoid Robots.

[162]  Changjoo Nam,et al.  Development of minimal grasper: Preliminary result of a simple and flexible enveloping grasper , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[163]  Wai Ho Li,et al.  Interactive learning of visually symmetric objects , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[164]  Andrew H. Fagg,et al.  Grasping Affordances: Learning to Connet vission to Hand Action , 2009 .

[165]  Robert C. Richardson,et al.  Determining an object's shape with a blind tactile manipulator , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[166]  Matei T. Ciocarlie,et al.  Hand Posture Subspaces for Dexterous Robotic Grasping , 2009, Int. J. Robotics Res..

[167]  Matei T. Ciocarlie,et al.  A design and analysis tool for underactuated compliant hands , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[168]  Andrew H. Fagg,et al.  Learning grasp affordances with variable centroid offsets , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[169]  Just L. Herder,et al.  Ability to hold grasped objects by underactuated hands: Performance prediction and experiments , 2009, 2009 IEEE International Conference on Robotics and Automation.

[170]  Oliver Kroemer,et al.  Active learning using mean shift optimization for robot grasping , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[171]  Nikolaos Papanikolopoulos,et al.  Grasp planning by alignment of pairwise shape descriptorss , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[172]  K. Gegenfurtner,et al.  Differences in fixations between grasping and viewing objects. , 2009, Journal of vision.

[173]  Siddhartha S. Srinivasa,et al.  MOPED: A scalable and low latency object recognition and pose estimation system , 2010, 2010 IEEE International Conference on Robotics and Automation.

[174]  Siddhartha S. Srinivasa,et al.  Efficient multi-view object recognition and full pose estimation , 2010, 2010 IEEE International Conference on Robotics and Automation.

[175]  Ling Xu,et al.  Human-guided grasp measures improve grasp robustness on physical robot , 2010, 2010 IEEE International Conference on Robotics and Automation.

[176]  Geoffrey A. Hollinger,et al.  HERB: a home exploring robotic butler , 2010, Auton. Robots.

[177]  Danica Kragic,et al.  Learning grasping points with shape context , 2010, Robotics Auton. Syst..