The Path to Autonomous Robots
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[1] Christian Smith,et al. Robot manipulators , 2009, IEEE Robotics & Automation Magazine.
[2] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[3] Bernhard Schölkopf,et al. Learning Inverse Dynamics: a Comparison , 2008, ESANN.
[4] Arvin Agah,et al. Design and Simulation of a Polar Mobile Robot , 2008 .
[5] Edwin V. Bonilla,et al. Multi-task Gaussian Process Prediction , 2007, NIPS.
[6] Oliver Bimber,et al. Laser Pointer Tracking in Projector-Augmented Architectural Environments , 2007, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality.
[7] Arvin Agah,et al. Precise Formation of Multi-Robot Systems , 2007, 2007 IEEE International Conference on System of Systems Engineering.
[8] Fred Y. Hadaegh,et al. Formulation and analysis of stability for spacecraft formations , 2007 .
[9] Fred Y. Hadaegh,et al. Distributed estimation, communication and control for deep space formations , 2007 .
[10] D. Caron,et al. Design and Development of a Wireless Robotic Networked Aquatic Microbial Observing System , 2007 .
[11] Heikki Mannila,et al. Principles of Data Mining , 2001, Undergraduate Topics in Computer Science.
[12] B. Gates. A robot in every home. , 2007, Scientific American.
[13] François Michaud,et al. Assistive Technologies and Children-Robot Interaction , 2007, AAAI Spring Symposium: Multidisciplinary Collaboration for Socially Assistive Robotics.
[14] Christopher M. Gifford,et al. Hybrid Streamers for Polar Seismic , 2006 .
[15] H. Schaub,et al. Invariant shape solutions of the spinning three craft Coulomb tether problem , 2006 .
[16] E.L. Akers,et al. Mobile Robots for Harsh Environments: Lessons Learned from Field Experiments , 2006, 2006 World Automation Congress.
[17] S. Ploen,et al. A direct solution for fuel-optimal reactive collision avoidance of collaborating spacecraft , 2006, 2006 American Control Conference.
[18] D. Caron,et al. Networked Aquatic Microbial Observing System , 2006 .
[19] Maja J. Mataric,et al. Encouraging physical therapy compliance with a hands-Off mobile robot , 2006, HRI '06.
[20] Robert Platt,et al. Learning and generalizing control-based grasping and manipulation skills , 2006 .
[21] Stefan Schaal,et al. Incremental Online Learning in High Dimensions , 2005, Neural Computation.
[22] Wolfram Burgard,et al. Coordinated multi-robot exploration , 2005, IEEE Transactions on Robotics.
[23] J. Hollis,et al. The future of land seismic , 2005 .
[24] Gaurav S. Sukhatme,et al. Bioscope: actuated sensor network for biological science , 2005 .
[25] Arvin Agah,et al. Design, fabrication, and evaluation of a mobile robot for polar environments , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.
[26] Anton Schwaighofer,et al. Learning Gaussian Process Kernels via Hierarchical Bayes , 2004, NIPS.
[27] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[28] Robert Platt,et al. Extracting User Intent in Mixed Initiative Teleoperator Control , 2004 .
[29] Tucker R. Balch,et al. Value-based action selection for exploration and dynamic target observation with robot teams , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[30] R. Nowak,et al. Backcasting: adaptive sampling for sensor networks , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.
[31] Jonathan Baxter,et al. A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling , 1997, Machine Learning.
[32] S. Grillner,et al. On the central generation of locomotion in the low spinal cat , 1979, Experimental Brain Research.
[33] Eugene M. Izhikevich,et al. Simple model of spiking neurons , 2003, IEEE Trans. Neural Networks.
[34] Satish Rao,et al. Paths, trees, and minimum latency tours , 2003, 44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings..
[35] David R. Karger,et al. Approximation algorithms for orienteering and discounted-reward TSP , 2003, 44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings..
[36] Yoichi Sato,et al. Ubiquitous display for dynamically changing environment , 2003, CHI Extended Abstracts.
[37] Oliver Brock,et al. A Framework For Humanoid Control and Intelligence , 2003 .
[38] Sidney Fels,et al. Tracking Multiple Laser Pointers for Large Screen Interaction , 2003 .
[39] Robert Platt,et al. Nullspace composition of control laws for grasping , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[40] S. Metchev,et al. A two‐dimensional Kolmogorov–Smirnov test for crowded field source detection: ROSAT sources in NGC 6397 , 2002, astro-ph/0204391.
[41] M. Anthony Lewis,et al. Perception driven robot locomotion (特集「ロコモーション」) , 2002 .
[42] Sebastian Thrun,et al. Probabilistic robotics , 2002, CACM.
[43] Justus Piater,et al. Learning Appearance Features to Support Robotic Manipulation , 2002 .
[44] Stefan Schaal,et al. Statistical Learning for Humanoid Robots , 2002, Auton. Robots.
[45] Bernhard Schölkopf,et al. Learning with kernels , 2001 .
[46] B. Webb,et al. Can robots make good models of biological behaviour? , 2001, Behavioral and Brain Sciences.
[47] Justus H. Piater,et al. Feature learning for recognition with Bayesian networks , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[48] Yasuhiro Fukuoka,et al. Adaptive dynamic walking of a quadruped robot on irregular terrain by using neural system model , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).
[49] Wolfram Burgard,et al. Coordination for Multi-Robot Exploration and Mapping , 2000, AAAI/IAAI.
[50] Fredrik Rehnmark,et al. Robonaut: NASA's Space Humanoid , 2000, IEEE Intell. Syst..
[51] Stefan Schaal,et al. Locally Weighted Projection Regression : An O(n) Algorithm for Incremental Real Time Learning in High Dimensional Space , 2000 .
[52] William A. Sethares,et al. Periodicity transforms , 1999, IEEE Trans. Signal Process..
[53] M. V. D. Veen,et al. Design Characteristics of a Seismic Land Streamer for Shallow Data Acquisition , 1999 .
[54] S Grillner,et al. Simulations of neuromuscular control in lamprey swimming. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[55] R. Beer,et al. Biorobotic approaches to the study of motor systems , 1998, Current Opinion in Neurobiology.
[56] J. F. Soechting,et al. Postural Hand Synergies for Tool Use , 1998, The Journal of Neuroscience.
[57] M. Anthony Lewis,et al. Look before you leap: peering behavior for depth perception , 1998 .
[58] Ronald C. Arkin,et al. An Behavior-based Robotics , 1998 .
[59] V. Sen,et al. Seismic surveys in central West Antarctica: data and processing examples from the ANTALITH field tests (1994-1995) , 1998 .
[60] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[61] Wakiji Em. Mapping the literature of physical therapy. , 1997 .
[62] Arvin Agah,et al. Phylogenetic and Ontogenetic Learning in a Colony of Interacting Robots , 1997, Auton. Robots.
[63] Jonathan Baxter,et al. A Bayesian/information theoretic model of bias learning , 2019, COLT '96.
[64] E. King,et al. A towed geophone system for use in snow-covered terrain , 1996 .
[65] T. Escobedo. Play at the Art Table: A Study of Children's Play Behaviors while Drawing. , 1996 .
[66] J. Hedrick,et al. String stability of interconnected systems , 1995, Proceedings of 1995 American Control Conference - ACC'95.
[67] A. Billard,et al. Chapter 18 Games Children with Autism Can Play With Robota , a Humanoid Robotic Doll , 1995 .
[68] Rodney A. Brooks,et al. Building brains for bodies , 1995, Auton. Robots.
[69] P. S. Sastry,et al. Analysis of the back-propagation algorithm with momentum , 1994, IEEE Trans. Neural Networks.
[70] D. Goodman. Personal Communications , 1994, Mobile Communications.
[71] Max Donath,et al. American Control Conference , 1993 .
[72] Neil Gershenfeld,et al. MIT-Media Lab , 1991, ICMC.
[73] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[74] George A. Bekey,et al. Using a context-sensitive learning network for robot arm control , 1989 .
[75] Bruce Randall Donald,et al. On the complexity of kinodynamic planning , 1988, [Proceedings 1988] 29th Annual Symposium on Foundations of Computer Science.
[76] Jean-Jacques E. Slotine,et al. Robot analysis and control , 1988, Autom..
[77] John J. Craig,et al. Introduction to Robotics Mechanics and Control , 1986 .
[78] B. Hille,et al. Ionic channels of excitable membranes , 2001 .
[79] R. Paul. Robot manipulators : mathematics, programming, and control : the computer control of robot manipulators , 1981 .
[80] F. Delcomyn. Neural basis of rhythmic behavior in animals. , 1980, Science.
[81] K. Mardia,et al. A small circle distribution on the sphere , 1978 .
[82] J. J. Gibson. The theory of affordances , 1977 .
[83] Michael A. Arbib,et al. The metaphorical brain 2 - neural networks and beyond (2. ed.) , 1972 .
[84] J. Gibson. The Senses Considered As Perceptual Systems , 1967 .
[85] A. Hodgkin,et al. A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.
[86] J. Piaget. Play, dreams and imitation in childhood , 1951 .
[87] T. Brown. The intrinsic factors in the act of progression in the mammal , 1911 .