Towards Grasp-Oriented Visual Perception for Humanoid Robots
暂无分享,去创建一个
Danica Kragic | Jeannette Bohg | Dan Song | Kai Huebner | Babak Rasolzadeh | Carl Barck-Holst | Maria Ralph | Jeannette Bohg | D. Kragic | Carl Barck-Holst | K. Huebner | Maria Ralph | B. Rasolzadeh | Dan Song | J. Bohg
[1] David Ingle,et al. Locating and identifying: Two modes of visual processing , 1967 .
[2] R. Shaw,et al. Perceiving, Acting and Knowing : Toward an Ecological Psychology , 1978 .
[3] J. Gibson. The Ecological Approach to Visual Perception , 1979 .
[4] A. Treisman,et al. A feature-integration theory of attention , 1980, Cognitive Psychology.
[5] D. Pandya,et al. Projections to the frontal cortex from the posterior parietal region in the rhesus monkey , 1984, The Journal of comparative neurology.
[6] S Ullman,et al. Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.
[7] E. Reed. The Ecological Approach to Visual Perception , 1989 .
[8] M. A. Fischler,et al. Context-based vision: Recognition of natural scenes , 1989, Twenty-Third Asilomar Conference on Signals, Systems and Computers, 1989..
[9] Andrew K. C. Wong,et al. A gray-level threshold selection method based on maximum entropy principle , 1989, IEEE Trans. Syst. Man Cybern..
[10] P. Goldman-Rakic,et al. Connections of the ventral granular frontal cortex of macaques with perisylvian premotor and somatosensory areas: Anatomical evidence for somatic representation in primate frontal association cortex , 1989, The Journal of comparative neurology.
[11] John K. Tsotsos. The Complexity of Perceptual Search Tasks , 1989, IJCAI.
[12] John K. Tsotsos. Analyzing vision at the complexity level , 1990, Behavioral and Brain Sciences.
[13] M. Jeannerod,et al. Measuring time to awareness , 1991, Neuroreport.
[14] M. Goodale,et al. Separate visual pathways for perception and action , 1992, Trends in Neurosciences.
[15] D. V. van Essen,et al. A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[16] J. B. Preston,et al. Interconnections between the prefrontal cortex and the premotor areas in the frontal lobe , 1994, The Journal of comparative neurology.
[17] H. Bülthoff,et al. Separate neural pathways for the visual analysis of object shape in perception and prehension , 1994, Current Biology.
[18] Leslie G. Ungerleider,et al. Connections of inferior temporal areas TEO and TE with parietal and frontal cortex in macaque monkeys. , 1994, Cerebral cortex.
[19] Jude W. Shavlik,et al. in Advances in Neural Information Processing , 1996 .
[20] S. Ullman,et al. Spatial Context in Recognition , 1996, Perception.
[21] Karun B. Shimoga,et al. Robot Grasp Synthesis Algorithms: A Survey , 1996, Int. J. Robotics Res..
[22] Michael A. Arbib,et al. Modeling parietal-premotor interactions in primate control of grasping , 1998, Neural Networks.
[23] R. Ellis,et al. On the relations between seen objects and components of potential actions. , 1998, Journal of experimental psychology. Human perception and performance.
[24] G. Rizzolatti,et al. The organization of the cortical motor system: new concepts. , 1998, Electroencephalography and clinical neurophysiology.
[25] Sariel Har-Peled,et al. Efficiently approximating the minimum-volume bounding box of a point set in three dimensions , 1999, SODA '99.
[26] Allison M. Okamura,et al. An overview of dexterous manipulation , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[27] H. Sakata,et al. Selectivity for the shape, size, and orientation of objects for grasping in neurons of monkey parietal area AIP. , 2000, Journal of neurophysiology.
[28] William Townsend,et al. The BarrettHand grasper – programmably flexible part handling and assembly , 2000 .
[29] C. Koch,et al. Models of bottom-up and top-down visual attention , 2000 .
[30] Sarah H. Creem,et al. Grasping objects by their handles: a necessary interaction between cognition and action. , 2001, Journal of experimental psychology. Human perception and performance.
[31] Sunghee Choi,et al. The power crust , 2001, SMA '01.
[32] G. Rizzolatti,et al. The Cortical Motor System , 2001, Neuron.
[33] Antonio Torralba,et al. Statistical Context Priming for Object Detection , 2001, ICCV.
[34] Jun Saiki,et al. Stochastic Guided Search Model for Search Asymmetries in Visual Search Tasks , 2002, Biologically Motivated Computer Vision.
[35] Ravi S. Menon,et al. Differential Effects of Viewpoint on Object-Driven Activation in Dorsal and Ventral Streams , 2002, Neuron.
[36] J. Decety,et al. Does visual perception of object afford action? Evidence from a neuroimaging study , 2002, Neuropsychologia.
[37] Zhaoping Li. A saliency map in primary visual cortex , 2002, Trends in Cognitive Sciences.
[38] M. Gentilucci. Object motor representation and reaching–grasping control , 2002, Neuropsychologia.
[39] Helge J. Ritter,et al. Multi-modal human-machine communication for instructing robot grasping tasks , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[40] Henrik I. Christensen,et al. Automatic grasp planning using shape primitives , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).
[41] Antonio Torralba,et al. Top-down control of visual attention in object detection , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).
[42] Gerd Hirzinger,et al. Grasping the dice by dicing the grasp , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).
[43] Dimitrios Katsoulas,et al. Reliable recovery of piled box-like objects via parabolically deformable superquadrics , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[44] Atilla Baskurt,et al. Segmentation and Superquadric Modeling of 3D Objects , 2003, WSCG.
[45] B. Draper,et al. Evaluation of Selective Attention under Similarity Transforms , 2003 .
[46] John K. Tsotsos. A ‘complexity level’ analysis of immediate vision , 2004, International Journal of Computer Vision.
[47] Xing Xie,et al. Salient Region Detection Using Weighted Feature Maps Based on the Human Visual Attention Model , 2004, PCM.
[48] Antonio Morales,et al. Using Experience for Assessing Grasp Reliability , 2004, Int. J. Humanoid Robotics.
[49] Gerd Hirzinger,et al. Grasp planning: how to choose a suitable task wrench space , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[50] Sangmoon Choi. Biologically Motivated Visual Attention System Using Bottom-up Saliency Map and Top-down Inhibition , 2004 .
[51] H. Christensen,et al. Object detection using background context , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[52] Antonio Morales Escrig. Learning to predict grasp reliability with a multifinger robot hand by using visual features , 2004 .
[53] Jan-Olof Eklundh,et al. Attending, Foveating and Recognizing Objects in Real World Scenes , 2004, BMVC.
[54] G. Rizzolatti,et al. Localization of grasp representations in humans by PET: 1. Observation versus execution , 1996, Experimental Brain Research.
[55] G. Rizzolatti,et al. Cortico-cortical connections of two electrophysiologically identified arm representations in the mesial agranular frontal cortex , 2004, Experimental Brain Research.
[56] R. S. Johansson,et al. Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects , 2004, Experimental Brain Research.
[57] M. Bar. Visual objects in context , 2004, Nature Reviews Neuroscience.
[58] Eli Brenner,et al. On the relation between object shape and grasping kinematics. , 2004, Journal of neurophysiology.
[59] Peter K. Allen,et al. Graspit! A versatile simulator for robotic grasping , 2004, IEEE Robotics & Automation Magazine.
[60] R. Alami,et al. Grasp Planning for Non-Convex Objects , 2005 .
[61] Rolf A. Zwaan,et al. Grounding Cognition: Introduction to Grounding Cognition: The Role of Perception and Action in Memory, Language, and Thinking , 2005 .
[62] Cynthia Breazeal,et al. Action parsing and goal inference using self as simulator , 2005, ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005..
[63] Bruce A. Draper,et al. Evaluation of selective attention under similarity transformations , 2005, Comput. Vis. Image Underst..
[64] Guido Bugmann,et al. Vision-based urban navigation procedures for verbally instructed robots , 2005, Robotics Auton. Syst..
[65] L. Fogassi,et al. Functional properties of grasping-related neurons in the ventral premotor area F5 of the macaque monkey. , 2006, Journal of neurophysiology.
[66] Jan-Olof Eklundh,et al. The Eigen-Transform and Applications , 2006, ACCV.
[67] Simone Frintrop,et al. VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search , 2006, Lecture Notes in Computer Science.
[68] Efrain Lopez Damian. Grasp planning for object manipulation by an autonomous robot , 2006 .
[69] Ashutosh Saxena,et al. Robotic Grasping of Novel Objects , 2006, NIPS.
[70] Tamim Asfour,et al. ARMAR-III: An Integrated Humanoid Platform for Sensory-Motor Control , 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.
[71] Gordon Cheng,et al. Foveated vision systems with two cameras per eye , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[72] Paul Ciprian Patic,et al. THE BARRETTHAND GRASPER - PROGRAMMABLY FLEXIBLE PART HANDLING AND ASSEMBLY , 2006 .
[73] Christopher W. Geib,et al. Object Action Complexes as an Interface for Planning and Robot Control , 2006 .
[74] Marc Alexa,et al. To appear in the ACM SIGGRAPH conference proceedings FiberMesh : Designing Freeform Surfaces with 3 D Curves , 2007 .
[75] José Santos-Victor,et al. A Developmental Roadmap for Learning by Imitation in Robots , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[76] 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.
[77] P. Allen,et al. Dexterous Grasping via Eigengrasps : A Low-dimensional Approach to a High-complexity Problem , 2007 .
[78] Danica Kragic,et al. Learning and Evaluation of the Approach Vector for Automatic Grasp Generation and Planning , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[79] Andrea Vedaldi,et al. Objects in Context , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[80] Bart Baesens,et al. Comprehensible Credit Scoring Models Using Rule Extraction from Support Vector Machines , 2007, Eur. J. Oper. Res..
[81] Marc Alexa,et al. FiberMesh: designing freeform surfaces with 3D curves , 2007, SIGGRAPH 2007.
[82] Jan-Olof Eklundh,et al. An Attentional System Combining Top-Down and Bottom-Up Influences , 2008, WAPCV.
[83] Danica Kragic,et al. Early reactive grasping with second order 3D feature relations , 2007 .
[84] Wolfram Burgard,et al. Instace-Based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data , 2007, IJCAI.
[85] Dirk Kraft,et al. An anthropomorphic grasping approach for an assistant humanoid robot , 2007 .
[86] Peter K. Allen,et al. Grasp Planning via Decomposition Trees , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[87] Eris Chinellato,et al. Neural Coding in the Dorsal Visual Stream , 2008, SAB.
[88] 三嶋 博之. The theory of affordances , 2008 .
[89] Manuel Lopes,et al. Learning Object Affordances: From Sensory--Motor Coordination to Imitation , 2008, IEEE Transactions on Robotics.
[90] 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.
[91] Bernt Schiele,et al. Functional Object Class Detection Based on Learned Affordance Cues , 2008, ICVS.
[92] Lawson L. S. Wong,et al. Learning Grasp Strategies with Partial Shape Information , 2008, AAAI.
[93] Anis Sahbani,et al. Handling Objects by Their Handles , 2008 .
[94] 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.
[95] Nico Blodow,et al. Functional object mapping of kitchen environments , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[96] Danica Kragic,et al. Minimum volume bounding box decomposition for shape approximation in robot grasping , 2008, 2008 IEEE International Conference on Robotics and Automation.
[97] Gordon Cheng,et al. Biologically Based Top-Down Attention Modulation for Humanoid Interactions , 2008, Int. J. Humanoid Robotics.
[98] Philippe Martinet,et al. Biologically-inspired 3D grasp synthesis based on visual exploration , 2008, Auton. Robots.
[99] Danica Kragic,et al. Integration of Visual and Shape Attributes for Object Action Complexes , 2008, ICVS.
[100] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[101] Danica Kragic,et al. Demonstration-based learning and control for automatic grasping , 2009, Intell. Serv. Robotics.
[102] Danica Kragic,et al. Learning of 2D grasping strategies from box-based 3D object approximations , 2009, Robotics: Science and Systems.
[103] Danica Kragic,et al. Grasping familiar objects using shape context , 2009, 2009 International Conference on Advanced Robotics.
[104] Jitendra Malik,et al. Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.