Machine Learning for Robot Grasping and Manipulation
暂无分享,去创建一个
[1] Hema Swetha Koppula,et al. Anticipating Human Activities Using Object Affordances for Reactive Robotic Response , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Jan Peters,et al. Reinforcement learning in robotics: A survey , 2013, Int. J. Robotics Res..
[3] O. Fuentes,et al. Hierarchical learning of reactive behaviors in an autonomous mobile robot , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.
[4] Oliver Brock,et al. Exploitation of Environmental Constraints in Human and Robotic Grasping , 2013, ISRR.
[5] Tamim Asfour,et al. An integrated approach to inverse kinematics and path planning for redundant manipulators , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[6] Dominik Wied,et al. Consistency of the kernel density estimator: a survey , 2012 .
[7] G. S. Watson,et al. Smooth regression analysis , 1964 .
[8] Stefan Schaal,et al. Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation , 2012, IEEE Transactions on Robotics.
[9] Carme Torras,et al. A robot learning from demonstration framework to perform force-based manipulation tasks , 2013, Intelligent Service Robotics.
[10] Stefan Schaal,et al. Movement segmentation using a primitive library , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[11] Rüdiger Dillmann,et al. An automatic grasp planning system for service robots , 2009, 2009 International Conference on Advanced Robotics.
[12] Manuela M. Veloso,et al. Visual sonar: fast obstacle avoidance using monocular vision , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).
[13] Robert D. Howe,et al. Contact State Estimation Using Multiple Model Estimation and Hidden Markov Models , 2004, Int. J. Robotics Res..
[14] Carl E. Rasmussen,et al. Gaussian Processes in Reinforcement Learning , 2003, NIPS.
[15] Maher Khatib,et al. Sensor-Based Motion Control for Mobile Robots , 1996 .
[16] Ibrahim Halatci. Vision-based terrain classification and classifier fusion for planetary exploration rovers , 2006 .
[17] James M. Rehg,et al. Traversability classification using unsupervised on-line visual learning for outdoor robot navigation , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[18] Jan Peters,et al. A Survey on Policy Search for Robotics , 2013, Found. Trends Robotics.
[19] Andrew Y. Ng,et al. Regularization and feature selection in least-squares temporal difference learning , 2009, ICML '09.
[20] Roman Rosipal,et al. Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space , 2002, J. Mach. Learn. Res..
[21] Stephen Hart,et al. Learning Generalizable Control Programs , 2011, IEEE Transactions on Autonomous Mental Development.
[22] Oliver Kroemer,et al. Learning to select and generalize striking movements in robot table tennis , 2012, AAAI Fall Symposium: Robots Learning Interactively from Human Teachers.
[23] Danica Kragic,et al. Generalizing grasps across partly similar objects , 2012, 2012 IEEE International Conference on Robotics and Automation.
[24] Warren B. Powell,et al. Approximate Dynamic Programming: Solving the Curses of Dimensionality (Wiley Series in Probability and Statistics) , 2007 .
[25] Miriam Fend,et al. Whisker-Based Texture Discrimination on a Mobile Robot , 2005, ECAL.
[26] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[27] Rainer Lienhart,et al. Multilayer pLSA for multimodal image retrieval , 2009, CIVR '09.
[28] Jan Peters,et al. Data-Efficient Generalization of Robot Skills with Contextual Policy Search , 2013, AAAI.
[29] Jan Peters,et al. Probabilistic Movement Primitives , 2013, NIPS.
[30] Danica Kragic,et al. Data-Driven Grasp Synthesis—A Survey , 2013, IEEE Transactions on Robotics.
[31] Oliver Kroemer,et al. Learning sequential motor tasks , 2013, 2013 IEEE International Conference on Robotics and Automation.
[32] Ralf Schoknecht,et al. Optimality of Reinforcement Learning Algorithms with Linear Function Approximation , 2002, NIPS.
[33] Ashutosh Saxena,et al. Reactive grasping using optical proximity sensors , 2009, 2009 IEEE International Conference on Robotics and Automation.
[34] Ales Ude,et al. Learning to pour with a robot arm combining goal and shape learning for dynamic movement primitives , 2011, Robotics Auton. Syst..
[35] Yoshihiko Nakamura,et al. Learning Robot Skills Through Motion Segmentation and Constraints Extraction , 2013 .
[36] J. Randall Flanagan,et al. Coding and use of tactile signals from the fingertips in object manipulation tasks , 2009, Nature Reviews Neuroscience.
[37] E. Reed. The Ecological Approach to Visual Perception , 1989 .
[38] A. Atiya,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2005, IEEE Transactions on Neural Networks.
[39] Andreas Krause,et al. Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting , 2009, IEEE Transactions on Information Theory.
[40] Daniel H. Grollman,et al. Incremental learning of subtasks from unsegmented demonstration , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[41] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[42] R. Agrawal. The Continuum-Armed Bandit Problem , 1995 .
[43] Ruzena Bajcsy,et al. Active Learning for Vision-Based Robot Grasping , 1996, Machine Learning.
[44] Thorsten Joachims,et al. Semantic Labeling of 3D Point Clouds for Indoor Scenes , 2011, NIPS.
[45] Moritz Tenorth,et al. Decomposing CAD models of objects of daily use and reasoning about their functional parts , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[46] Jan Peters,et al. Learning to sequence movement primitives from demonstrations , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[47] Benjamin Kuipers,et al. Autonomous Learning of High-Level States and Actions in Continuous Environments , 2012, IEEE Transactions on Autonomous Mental Development.
[48] John Shawe-Taylor,et al. Canonical Correlation Analysis: An Overview with Application to Learning Methods , 2004, Neural Computation.
[49] David P. Dobkin,et al. Multiresolution mesh morphing , 1999, SIGGRAPH.
[50] R. Kondor,et al. Bhattacharyya and Expected Likelihood Kernels , 2003 .
[51] Stefan Schaal,et al. Learning and generalization of motor skills by learning from demonstration , 2009, 2009 IEEE International Conference on Robotics and Automation.
[52] Peter K. Allen,et al. Robot learning of everyday object manipulations via human demonstration , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[53] Rustam Stolkin,et al. Learning to predict how rigid objects behave under simple manipulation , 2011, 2011 IEEE International Conference on Robotics and Automation.
[54] Katherine J. Kuchenbecker,et al. Improving contact realism through event-based haptic feedback , 2006, IEEE Transactions on Visualization and Computer Graphics.
[55] Rüdiger Dillmann,et al. Learning of Planning Models for Dexterous Manipulation Based on Human Demonstrations , 2012, International Journal of Social Robotics.
[56] Jan Peters,et al. Learning elementary movements jointly with a higher level task , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[57] H. Kuhn. The Hungarian method for the assignment problem , 1955 .
[58] Julia Hirschberg,et al. V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure , 2007, EMNLP.
[59] Oliver Kroemer,et al. Structured Apprenticeship Learning , 2012, ECML/PKDD.
[60] K. Atkinson. The Numerical Solution of Integral Equations of the Second Kind , 1997 .
[61] Christoph H. Lampert,et al. Learning Dynamic Tactile Sensing With Robust Vision-Based Training , 2011, IEEE Transactions on Robotics.
[62] Rubén Martínez Cantín. Active map learning for robots:insights into statistical consistency , 2008 .
[63] J. Andrew Bagnell,et al. Maximum margin planning , 2006, ICML.
[64] Dimitri P. Bertsekas,et al. Dynamic Programming and Optimal Control, Vol. II , 1976 .
[65] Sachin Chitta,et al. Human-Inspired Robotic Grasp Control With Tactile Sensing , 2011, IEEE Transactions on Robotics.
[66] 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).
[67] Ulrich Hillenbrand. Non-parametric 3D Shape Warping , 2010, 2010 20th International Conference on Pattern Recognition.
[68] Tony Jebara,et al. Probability Product Kernels , 2004, J. Mach. Learn. Res..
[69] Xin Xu,et al. Kernel Least-Squares Temporal Difference Learning , 2006 .
[70] Oliver Kroemer,et al. Learning robot tactile sensing for object manipulation , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[71] Eli Upfal,et al. Multi-Armed Bandits in Metric Spaces ∗ , 2008 .
[72] Marc Toussaint,et al. Active exploration of joint dependency structures , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[73] Gaurav S. Sukhatme,et al. Using manipulation primitives for brick sorting in clutter , 2012, 2012 IEEE International Conference on Robotics and Automation.
[74] Justin A. Boyan,et al. Least-Squares Temporal Difference Learning , 1999, ICML.
[75] Bernhard Schölkopf,et al. Kernel Principal Component Analysis , 1997, ICANN.
[76] Robert D. Howe,et al. A tactile sensor for localizing transient events in manipulation , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.
[77] Henrik I. Christensen,et al. Automatic grasp planning using shape primitives , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).
[78] 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.
[79] Yasemin Altun,et al. Relative Entropy Policy Search , 2010 .
[80] Thomas Hofmann,et al. Probabilistic latent semantic indexing , 1999, SIGIR '99.
[81] Peter Auer,et al. Finite-time Analysis of the Multiarmed Bandit Problem , 2002, Machine Learning.
[82] Cordelia Schmid,et al. Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).
[83] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[84] Robert Jenssen,et al. The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels , 2006, J. Frankl. Inst..
[85] Siddhartha S. Srinivasa,et al. Extrinsic dexterity: In-hand manipulation with external forces , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[86] Zoltan-Csaba Marton,et al. Tracking-based interactive segmentation of textureless objects , 2013, 2013 IEEE International Conference on Robotics and Automation.
[87] K. Rose. Deterministic annealing for clustering, compression, classification, regression, and related optimization problems , 1998, Proc. IEEE.
[88] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[89] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[90] Vishal Soni,et al. Reinforcement learning of hierarchical skills on the sony aibo robot , 2005, AAAI 2005.
[91] Oliver Kroemer,et al. Active Reward Learning , 2014, Robotics: Science and Systems.
[92] Qiang Yang,et al. Transfer Learning via Dimensionality Reduction , 2008, AAAI.
[93] Maya Cakmak,et al. Designing Interactions for Robot Active Learners , 2010, IEEE Transactions on Autonomous Mental Development.
[94] Danica Kragic,et al. Biologically motivated visual servoing and grasping for real world tasks , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).
[95] Patric Jensfelt,et al. Learning spatial relations from functional simulation , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[96] G. Wahba,et al. Some results on Tchebycheffian spline functions , 1971 .
[97] Oliver Kroemer,et al. Predicting object interactions from contact distributions , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[98] Christopher G. Atkeson,et al. A comparison of direct and model-based reinforcement learning , 1997, Proceedings of International Conference on Robotics and Automation.
[99] Leslie Pack Kaelbling,et al. Hierarchical Planning in the Now , 2010, Bridging the Gap Between Task and Motion Planning.
[100] Markus Lappe,et al. Biologically Motivated Multi-modal Processing of Visual Primitives , 2003 .
[101] Volker Schmirgel,et al. Mobile Manipulation Based on Generic Object Knowledge , 2006, ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication.
[102] Wolfram Burgard,et al. Object identification with tactile sensors using bag-of-features , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[103] Gunther Heidemann,et al. Dynamic tactile sensing for object identification , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[104] Leemon C. Baird,et al. Residual Algorithms: Reinforcement Learning with Function Approximation , 1995, ICML.
[105] Oliver Kroemer,et al. Generalization of human grasping for multi-fingered robot hands , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[106] Oliver Kroemer,et al. Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments , 2014, IEEE Transactions on Robotics.
[107] Anind K. Dey,et al. Maximum Entropy Inverse Reinforcement Learning , 2008, AAAI.
[108] Justus H. Piater,et al. Probabilistic Pose Recovery Using Learned Hierarchical Object Models , 2009, ICVW.
[109] Oliver Brock,et al. Grasping unknown objects by exploiting shape adaptability and environmental constraints , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[110] Gavin Taylor,et al. Kernelized value function approximation for reinforcement learning , 2009, ICML '09.
[111] Peter Auer,et al. Improved Rates for the Stochastic Continuum-Armed Bandit Problem , 2007, COLT.
[112] Giulio Sandini,et al. Tactile Sensing—From Humans to Humanoids , 2010, IEEE Transactions on Robotics.
[113] Ashutosh Saxena,et al. Learning to Grasp Novel Objects Using Vision , 2006, ISER.
[114] Takeshi Ohashi,et al. Obstacle avoidance and path planning for humanoid robots using stereo vision , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[115] Danica Kragic,et al. ST-HMP: Unsupervised Spatio-Temporal feature learning for tactile data , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[116] Siddhartha S. Srinivasa,et al. Pre- and post-contact policy decomposition for planar contact manipulation under uncertainty , 2014, Int. J. Robotics Res..
[117] Leslie Pack Kaelbling,et al. A hierarchical approach to manipulation with diverse actions , 2013, 2013 IEEE International Conference on Robotics and Automation.
[118] Maya Cakmak,et al. To Afford or Not to Afford: A New Formalization of Affordances Toward Affordance-Based Robot Control , 2007, Adapt. Behav..
[119] Danica Kragic,et al. Learning tactile characterizations of object- and pose-specific grasps , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[120] Andreas Krause,et al. Gaussian Process Bandits without Regret: An Experimental Design Approach , 2009, ArXiv.
[121] S. Gruber,et al. Robot hands and the mechanics of manipulation , 1987, Proceedings of the IEEE.
[122] Peter Stone,et al. Model-based function approximation in reinforcement learning , 2007, AAMAS '07.
[123] Danica Kragic,et al. Real-time tracking meets online grasp planning , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).
[124] M. Arbib,et al. Infant grasp learning: a computational model , 2004, Experimental Brain Research.
[125] Stefan Schaal,et al. Towards Associative Skill Memories , 2012, 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012).
[126] C. D. Kemp,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[127] Scott Niekum,et al. Incremental Semantically Grounded Learning from Demonstration , 2013, Robotics: Science and Systems.
[128] R emiMunos. Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation , 2006 .
[129] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[130] G. Baudat,et al. Generalized Discriminant Analysis Using a Kernel Approach , 2000, Neural Computation.
[131] Andrew W. Moore,et al. X-means: Extending K-means with Efficient Estimation of the Number of Clusters , 2000, ICML.
[132] Jivko Sinapov,et al. A Behavior-Grounded Approach to Forming Object Categories: Separating Containers From Noncontainers , 2012, IEEE Transactions on Autonomous Mental Development.
[133] Victor Ng-Thow-Hing,et al. Randomized multi-modal motion planning for a humanoid robot manipulation task , 2011, Int. J. Robotics Res..
[134] Christoph H. Lampert,et al. Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning , 2010, ECCV.
[135] Miles C. Bowman,et al. Control strategies in object manipulation tasks , 2006, Current Opinion in Neurobiology.
[136] S. Gelly,et al. Anytime many-armed bandits , 2007 .
[137] S. Lacey,et al. Vision and Touch: Multiple or Multisensory Representations of Objects? , 2007, Perception.
[138] L. Tucker. An inter-battery method of factor analysis , 1958 .
[139] Dirk Ormoneit,et al. Kernel-Based Reinforcement Learning , 2017, Encyclopedia of Machine Learning and Data Mining.
[140] Sheldon Andrews,et al. Goal directed multi-finger manipulation: Control policies and analysis , 2013, Comput. Graph..
[141] Nolan Wagener,et al. Learning contact-rich manipulation skills with guided policy search , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[142] Scott Kuindersma,et al. Robot learning from demonstration by constructing skill trees , 2012, Int. J. Robotics Res..
[143] Carl E. Rasmussen,et al. Policy search for learning robot control using sparse data , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[144] Ping Zhang,et al. A full tactile sensing suite for dextrous robot hands and use in contact force control , 1996, Proceedings of IEEE International Conference on Robotics and Automation.
[145] Javier Felip,et al. Manipulation primitives: A paradigm for abstraction and execution of grasping and manipulation tasks , 2013, Robotics Auton. Syst..
[146] Patrick Pirim,et al. Tactile Texture Discrimination in the Robot-rat Psikharpax , 2010, BIOSIGNALS.
[147] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[148] Oliver Kroemer,et al. Combining active learning and reactive control for robot grasping , 2010, Robotics Auton. Syst..
[149] Chen K. Tham,et al. Reinforcement learning of multiple tasks using a hierarchical CMAC architecture , 1995, Robotics Auton. Syst..
[150] Oliver Brock,et al. Entropy-based strategies for physical exploration of the environment's degrees of freedom , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[151] Ashutosh Saxena,et al. Robobarista: Object Part Based Transfer of Manipulation Trajectories from Crowd-Sourcing in 3D Pointclouds , 2015, ISRR.
[152] Susan J. Lederman,et al. Multisensory Texture Perception , 2010 .
[153] Dominik Belter,et al. Kinematically optimised predictions of object motion , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[154] Martin A. Riedmiller,et al. Autonomous reinforcement learning on raw visual input data in a real world application , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).
[155] Stefan Schaal,et al. Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields , 2008, Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots.
[156] Ashutosh Saxena,et al. Robotic Grasping of Novel Objects using Vision , 2008, Int. J. Robotics Res..
[157] Radu Bogdan Rusu,et al. 3D is here: Point Cloud Library (PCL) , 2011, 2011 IEEE International Conference on Robotics and Automation.
[158] Helge J. Ritter,et al. Experience-based and tactile-driven dynamic grasp control , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[159] Danica Kragic,et al. Demonstration-based learning and control for automatic grasping , 2009, Intell. Serv. Robotics.
[160] Zoubin Ghahramani,et al. Sparse Gaussian Processes using Pseudo-inputs , 2005, NIPS.
[161] H. Hotelling. Relations Between Two Sets of Variates , 1936 .
[162] Marc Toussaint,et al. Gaussian process implicit surfaces for shape estimation and grasping , 2011, 2011 IEEE International Conference on Robotics and Automation.
[163] Gaurav S. Sukhatme,et al. Active articulation model estimation through interactive perception , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[164] Andrew T. Miller,et al. Integration of Vision , Force and Tactile Sensing for Grasping , 1999 .
[165] Hong Liu,et al. Experimental study on impedance control for the five-finger dexterous robot hand DLR-HIT II , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[166] Beth Logan,et al. Mel Frequency Cepstral Coefficients for Music Modeling , 2000, ISMIR.
[167] Michael Beetz,et al. Constraint-based movement representation grounded in geometric features , 2013, 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids).
[168] Dieter Fox,et al. Unsupervised feature learning for 3D scene labeling , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[169] Michael I. Jordan,et al. A Probabilistic Interpretation of Canonical Correlation Analysis , 2005 .
[170] Sergey Levine,et al. End-to-End Training of Deep Visuomotor Policies , 2015, J. Mach. Learn. Res..
[171] M. Hollins,et al. Imposed Vibration Influences Perceived Tactile Smoothness , 2000, Perception.
[172] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[173] Manuel Lopes,et al. Active Learning for Teaching a Robot Grounded Relational Symbols , 2013, IJCAI.
[174] Jun Nakanishi,et al. Movement imitation with nonlinear dynamical systems in humanoid robots , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).
[175] Shalabh Bhatnagar,et al. Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation , 2009, NIPS.
[176] Odest Chadwicke Jenkins,et al. Learning from demonstration using a multi-valued function regressor for time-series data , 2010, 2010 10th IEEE-RAS International Conference on Humanoid Robots.
[177] Antonio Morales,et al. An active learning approach for assessing robot grasp reliability , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).
[178] 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.
[179] Ashutosh Saxena,et al. Efficient grasping from RGBD images: Learning using a new rectangle representation , 2011, 2011 IEEE International Conference on Robotics and Automation.
[180] Oliver Kroemer,et al. Learning robot grasping from 3-D images with Markov Random Fields , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[181] Oliver Kroemer,et al. Point cloud completion using extrusions , 2012, 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012).
[182] Honglak Lee,et al. Deep learning for detecting robotic grasps , 2013, Int. J. Robotics Res..
[183] Bernhard Schölkopf,et al. Learning Dense 3D Correspondence , 2006, NIPS.
[184] Alexander Stoytchev,et al. Some Basic Principles of Developmental Robotics , 2009, IEEE Transactions on Autonomous Mental Development.
[185] Oliver Kroemer,et al. A kernel-based approach to direct action perception , 2012, 2012 IEEE International Conference on Robotics and Automation.
[186] Wolfram Burgard,et al. Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning , 2008 .
[187] Arthur Gretton,et al. Learning Taxonomies by Dependence Maximization , 2008, NIPS.
[188] 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).
[189] Jun Nakanishi,et al. Learning Attractor Landscapes for Learning Motor Primitives , 2002, NIPS.
[190] Alexander Herzog,et al. Learning of grasp selection based on shape-templates , 2014, Auton. Robots.
[191] M. Schieber,et al. Sensorimotor Control of Grasping : Physiology and Pathophysiology STROKE , 2008 .
[192] Yun Jiang,et al. Learning to place new objects in a scene , 2012, Int. J. Robotics Res..
[193] Manuel Lopes,et al. Learning Object Affordances: From Sensory--Motor Coordination to Imitation , 2008, IEEE Transactions on Robotics.
[194] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[195] Pieter Abbeel,et al. Autonomous Helicopter Aerobatics through Apprenticeship Learning , 2010, Int. J. Robotics Res..
[196] H. Bersini,et al. Three connectionist implementations of dynamic programming for optimal control: a preliminary comparative analysis , 1996, Proceedings of International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing.
[197] Peter K. Allen,et al. Learning grasp stability , 2012, 2012 IEEE International Conference on Robotics and Automation.
[198] Sethu Vijayakumar,et al. Information about Complex Fingertip Parameters in Individual Human Tactile Afferent Neurons , 2009, The Journal of Neuroscience.
[199] M. Spong,et al. Robot Modeling and Control , 2005 .
[200] Tamim Asfour,et al. Action sequence reproduction based on automatic segmentation and Object-Action Complexes , 2013, 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids).
[201] Máximo A. Roa,et al. Transferring functional grasps through contact warping and local replanning , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[202] Andrea d'Avella,et al. Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems , 2013, Front. Comput. Neurosci..
[203] Matei T. Ciocarlie,et al. Hand Posture Subspaces for Dexterous Robotic Grasping , 2009, Int. J. Robotics Res..
[204] Jochen J. Steil,et al. Task-level imitation learning using variance-based movement optimization , 2009, 2009 IEEE International Conference on Robotics and Automation.
[205] R Bellman,et al. Bottleneck Problems and Dynamic Programming. , 1953, Proceedings of the National Academy of Sciences of the United States of America.
[206] Nicolas Pugeault,et al. Early cognitive vision: feedback mechanisms for the disambiguation of early visual representation , 2008 .
[207] Pieter Abbeel,et al. Learning from Demonstrations Through the Use of Non-rigid Registration , 2013, ISRR.
[208] E. M. Wright,et al. Adaptive Control Processes: A Guided Tour , 1961, The Mathematical Gazette.
[209] Justus H. Piater,et al. Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[210] Oliver Brock,et al. Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation , 2008, Robotics: Science and Systems.
[211] H. Akaike. A new look at the statistical model identification , 1974 .
[212] 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).
[213] R. E. Kalman,et al. Contributions to the Theory of Optimal Control , 1960 .
[214] A. Volgenant,et al. A shortest augmenting path algorithm for dense and sparse linear assignment problems , 1987, Computing.
[215] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[216] E. Nadaraya. On Estimating Regression , 1964 .
[217] Oliver Kroemer,et al. A Non-Parametric Approach to Dynamic Programming , 2011, NIPS.
[218] Karl Pearson F.R.S.. LIII. On lines and planes of closest fit to systems of points in space , 1901 .
[219] Santosh S. Vempala,et al. Latent semantic indexing: a probabilistic analysis , 1998, PODS '98.
[220] Jun Nakanishi,et al. Learning Movement Primitives , 2005, ISRR.
[221] Carme Torras,et al. Force-based robot learning of pouring skills using parametric hidden Markov models , 2013, 9th International Workshop on Robot Motion and Control.
[222] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[223] E. Mjolsness,et al. Learning for autonomous navigation : extrapolating from underfoot to the far field , 2005 .
[224] Rainer Jäkel,et al. Learning of Generalized Manipulation Strategies in Service Robotics , 2013 .
[225] Dana Kulic,et al. Online Segmentation and Clustering From Continuous Observation of Whole Body Motions , 2009, IEEE Transactions on Robotics.
[226] Robert D. Kleinberg. Nearly Tight Bounds for the Continuum-Armed Bandit Problem , 2004, NIPS.
[227] Mark R. Cutkosky,et al. Sensing skin acceleration for slip and texture perception , 1989, Proceedings, 1989 International Conference on Robotics and Automation.
[228] Cyrill Stachniss,et al. Learning manipulation actions from a few demonstrations , 2013, 2013 IEEE International Conference on Robotics and Automation.
[229] Danica Kragic,et al. Mind the gap - robotic grasping under incomplete observation , 2011, 2011 IEEE International Conference on Robotics and Automation.
[230] Oliver Kroemer,et al. Learning to predict phases of manipulation tasks as hidden states , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[231] David Barber,et al. Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems , 2006, J. Mach. Learn. Res..
[232] Oliver Kroemer,et al. Towards learning hierarchical skills for multi-phase manipulation tasks , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[233] J. Andrew Bagnell,et al. Improving Robot Navigation Through Self-Supervised Online Learning , 2006, Robotics: Science and Systems.
[234] M. Rosenblatt. Remarks on Some Nonparametric Estimates of a Density Function , 1956 .
[235] Manuel Lopes,et al. Modeling affordances using Bayesian networks , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[236] Rémi Munos,et al. Error Bounds for Approximate Policy Iteration , 2003, ICML.
[237] Byron Boots,et al. Learning predictive models of a depth camera & manipulator from raw execution traces , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[238] Shie Mannor,et al. Reinforcement learning with Gaussian processes , 2005, ICML.
[239] Danica Kragic,et al. Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object-Action complexes , 2008, Int. J. Humanoid Robotics.
[240] H. Bülthoff,et al. Viewpoint Dependence in Visual and Haptic Object Recognition , 2001, Psychological science.