The Path to Autonomous Robots

[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 .