A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
Cited by (999)
Items 101–200 of 999
- INFANT neural controller for adaptive sensory-motor coordinationMichael Kuperstein · 1991 · Neural Networks
- Stable adaptive compensation with fuzzy CMAC for an overhead craneWen Yu, Marco A. Moreno-Armendáriz, Floriberto Ortiz Rodríguez · 2009 · Information Sciences
- Machine Learning Algorithms in Bipedal Robot ControlShouyi Wang, Wanpracha Art Chaovalitwongse, Robert Babuška · 2012 · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
- Neural network-based adaptive controller design of robotic manipulators with an observerFuchun Sun, Zengqi Sun, Peng-Yung Woo · 2001 · IEEE Transactions on Neural Networks
- Entropy formulation of optimal and adaptive controlG.N. Saridis · 1988 · IEEE Transactions on Automatic Control
- Biologically Inspired Motion Modeling and Neural Control for Robot Learning From DemonstrationsChenguang Yang, Chuize Chen, Ning Wang, Zhaojie Ju, Jian Yu Fu, Min Wang · 2018 · IEEE Transactions on Cognitive and Developmental Systems
- Using locally weighted regression for robot learningChristopher G. Atkeson · 2002 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Introduction to the modified probabilistic neural network for general signal processing applicationsAnthony Zaknich · 1998 · IEEE Transactions on Signal Processing
- TEXPLORE: real-time sample-efficient reinforcement learning for robotsTodd Hester, Peter Stone · 2012 · Machine Learning
- Neural methods for antenna array signal processing: a reviewKe-Lin Du, A.K.Y. Lai, Kuang‐Wei Cheng, M.N.S. Swamy · 2002 · Signal Processing
- Self-Organizing CMAC Control for a Class of MIMO Uncertain Nonlinear SystemsChih‐Min Lin, Te‐Yu Chen · 2009 · IEEE Transactions on Neural Networks
- Toward intelligent flight controlRobert F. Stengel · 1993 · IEEE Transactions on Systems Man and Cybernetics
- CMAC neural networks for control of nonlinear dynamical systems: Structure, stability and passivitySesh Commuri, Frank L. Lewis · 1997 · Automatica
- Application of reinforcement learning to routing in distributed wireless networks: a reviewHasan A. A. Al-Rawi, Ming Ann Ng, Kok‐Lim Alvin Yau · 2013 · Artificial Intelligence Review
- Abnormal Driving Detection Based on Normalized Driving BehaviorJie Hu, Xu Li, Xin He · 2017 · IEEE Transactions on Vehicular Technology
- A model of the cerebellum in adaptive control of saccadic gainNicolas Schweighofer, Michael A. Arbib, Peter Ford Dominey · 1996 · Biological Cybernetics
- Neural Optimal Control of PEM Fuel Cells With Parametric CMAC NetworksPaulo E. M. Almeida, Marcelo Godoy Simões · 2005 · IEEE Transactions on Industry Applications
- Applications of the self-organising map to reinforcement learningAndrew James Smith · 2002 · Neural Networks
- Generalizing CMAC architecture and trainingF.J. González-Serrano, Aníbal Ramón Figueiras-Vidal, Antonio Artés-Rodrı́guez · 1998 · IEEE Transactions on Neural Networks
- Climbing Fiber Burst Size and Olivary Sub-threshold Oscillations in a Network SettingJornt R. De Gruijl, Paolo Bazzigaluppi, Marcel T. G. de Jeu, Chris I. De Zeeuw · 2012 · PLoS Computational Biology
- An Efficient Interval Type-2 Fuzzy CMAC for Chaos Time-Series Prediction and SynchronizationChing‐Hung Lee, Feng‐Yu Chang, Chih‐Min Lin · 2013 · IEEE Transactions on Cybernetics
- Learning, positioning, and tracking visual appearanceShree K. Nayar, Hiroshi Murase, S.A. Nene · 2002 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Reinforcement Learning: A SurveyLeslie Pack Kaelbling, Michael L. Littman, Andrew Moore · 1996 · arXiv (Cornell University)
- A Distributed Self-Learning Approach for Elastic Provisioning of Virtualized Cloud ResourcesJia Rao, Xiangping Bu, Chengzhong Xu · 2011 · IEEE International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS)
- A nonlinear predictive control strategy based on radial basis function modelsMartin Pottmann, Dale E. Seborg · 1997 · Computers & Chemical Engineering
- A fast learning algorithm for evolving neo-fuzzy neuronAlisson Marques da Silva, Walmir M. Caminhas, André Lemos · 2013 · Applied Soft Computing
- A coordination theory for intelligent machinesFei–Yue Wang, G.N. Saridis · 1990 · Automatica
- Credit assigned CMAC and its application to online learning robust controllersShun‐Feng Su, Ted Tao, Ta‐Hsiung Hung · 2003 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement LearningRahul Bera, Konstantinos Kanellopoulos, Anant Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu · 2021 · IEEE/ACM International Symposium on Microarchitecture (MICRO)
- The Cerebellum and Adaptive ControlJohn S. Barlow · 2002 · Cambridge University Press eBooks
- Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networksChi-Jie Lu, Tian‐Shyug Lee, Chia-Mei Lian · 2012 · Decision Support Systems
- CMAC-based adaptive critic self-learning controlC.-S. Lin, H. Kim · 1991 · IEEE Transactions on Neural Networks
- Making reinforcement learning work on real robotsLeslie Pack Kaelbling, William D. Smart · 2002
- A reference model architecture for intelligent systems design1994
- On-line learning control of autonomous underwater vehicles using feedforward neural networksK.P. Venugopal, R. Sudhakar, A.S. Pandya · 1992 · IEEE Journal of Oceanic Engineering
- Learning control for a closed loop system using feedback-error-learningHiroaki Gomi, Mitsuo Kawato · 1990 · IEEE Conference on Decision and Control (CDC)
- A self-organizing HCMAC neural-network classifierHahn-Ming Lee, Chih‐Ming Chen, Yung-Feng Lu · 2003 · IEEE Transactions on Neural Networks
- Neuroevolution strategies for episodic reinforcement learningVerena Heidrich-Meisner, Christian Igel · 2009 · Journal of Algorithms
- Natural intelligence in artificial creaturesChristian Balkenius · 1995 · Lund University Publications (Lund University)
- RCMAC Hybrid Control for MIMO Uncertain Nonlinear Systems Using Sliding-Mode TechnologyChih-Min Lin, Liyang Chen, Chiu-Hsiung Chen · 2007 · IEEE Transactions on Neural Networks
- Adaptive Visual Servo Control of RobotsArthur C. Sanderson, Lee E. Weiss · 1983 · Springer eBooks
- Approximate Dynamic Programming Strategies and Their Applicability for Process Control: A Review and Future DirectionsJong Min Lee, Jay H. Lee · 2004
- Adaptation and learning in control of voluntary movement by the central nervous systemMitsuo Kawato · 1988 · Advanced Robotics
- Diagnosis of incipient faults in power transformers using CMAC neural network approachChin-Pao Hung, Mang-Hui Wang · 2004 · Electric Power Systems Research
- Radial Basis Function NetworksKe-Lin Du, M. N. S. Swamy · 2013 · Springer eBooks
- High-order MS CMAC neural networkJ. C. Jan, Shih‐Lin Hung · 2001 · IEEE Transactions on Neural Networks
- The control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle using a CMAC neural networkFrederick G. Harmon, Andrew A. Frank, Sanjay S. Joshi · 2005 · Neural Networks
- Turning Bayesian model averaging into Bayesian model combinationKristine Monteith, James L. Carroll, Kevin D. Seppi, Tony R. Martinez · 2011 · International Joint Conference on Neural Networks (IJCNN)
- Reconstruction of Patterns from Noisy Inputs Using Morphological Associative MemoriesGerhard X. Ritter, Gonzalo Urcid, Laurentiu Iancu · 2003 · Journal of Mathematical Imaging and Vision
- Using Associative Content-Addressable Memories to Control RobotsChristopher G. Atkeson, David J. Reinkensmeyer · 1991 · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes
- Associative Neural NetworkIgor V. Tetko · 2002 · Neural Processing Letters
- Development of a Recurrent Fuzzy CMAC With Adjustable Input Space Quantization and Self-Tuning Learning Rate for Control of a Dual-Axis Piezoelectric Actuated Micromotion StageChun-Ming Wen, Ming-Yang Cheng · 2012 · IEEE Transactions on Industrial Electronics
- Design, fabrication, and real-time neural network control of a three-degrees-of-freedom nanopositionerSang-soon Ku, Unnat Pinsopon, Sabri Cetinkunt · 2000 · IEEE/ASME Transactions on Mechatronics
- A self-learning automaton with variable resolution for high precision assembly by industrial robotsJos Simons, H. Van Brussel, Joris De Schutter · 1982 · IEEE Transactions on Automatic Control
- Using learning techniques to accommodate unanticipated faultsJay A. Farrell, T. Berger, B.D. Appleby · 1993 · IEEE Control Systems
- Adaptive Control for Uncertain Nonlinear Systems Based on Multiple Neural NetworksChen‐Yi Lee, Jaewook Lee · 2004 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Robotics and NeuroscienceDario Floreano, Auke Jan Ijspeert, Stefan Schaal · 2014 · Current Biology
- Smooth trajectory tracking of three-link robot: a self-organizing CMAC approachKao‐Shing Hwang, ChingShun Lin · 1998 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- RCS: A cognitive architecture for intelligent multi-agent systemsJames Sacra Albus, Anthony J. Barbera · 2004 · IFAC Proceedings Volumes
- A Novel Adaptive Wavelet Fuzzy Cerebellar Model Articulation Control System Design for Voice Coil MotorsChih‐Min Lin, Hsin-Yi Li · 2011 · IEEE Transactions on Industrial Electronics
- UAV Model-based Flight Control with Artificial Neural Networks: A SurveyWeibin Gu, Kimon P. Valavanis, Matthew J. Rutherford, Alessandro Rizzo · 2020 · Journal of Intelligent & Robotic Systems
- Implementation of LLCC-Resonant Driving Circuit and Adaptive CMAC Neural Network Control for Linear Piezoelectric Ceramic MotorY.-F. Peng, Rong‐Jong Wai, Chih‐Min Lin · 2004 · IEEE Transactions on Industrial Electronics
- Practical stability issues in CMAC neural network control systemsFu-Chuang Chen, Chih-Horng Chang · 1996 · IEEE Transactions on Control Systems Technology
- A Method for Inverse Robot CalibrationJeff S. Shamma, Daniel E. Whitney · 1987 · Journal of Dynamic Systems Measurement and Control
- Robustness of the dynamic walk of a biped robot subjected to disturbing external forces by using CMAC neural networksChristophe Sabourin, Olivier Bruneau · 2005 · Robotics and Autonomous Systems
- Cerebellar learning of accurate predictive control for fast-reaching movementsSpoelstra, Jacob, Schweighofer, Nicolas, Arbib, Michael A. · 2000 · Biological Cybernetics
- The NIST Real-time Control System (RCS): an approach to intelligent systems researchJames Sacra Albus · 1997 · Journal of Experimental & Theoretical Artificial Intelligence
- Structure-unknown non-linear dynamic systems: identification through neural networksSami F. Masri, A. G. Chassiakos, T. K. Caughey · 1992 · Smart Materials and Structures
- Next Generation Intrusion Detection: Autonomous Reinforcement Learning of Network AttacksCannady, Divya James · 2000
- Fast Online Q(λ)Marco Wiering, Jürgen Schmidhuber · 1998 · Machine Learning
- Learning from biological systems: modeling neural controlJiping He, Mitchell Maltenfort, Qingjun Wang · 2001 · IEEE Control Systems
- 50 Years Since the Marr, Ito, and Albus Models of the CerebellumMitsuo Kawato, Shogo Ohmae, Huu Hoang, Terry D. Sanger · 2020 · Neuroscience
- State-of-Charge Estimation for Electric Scooters by Using Learning MechanismsDer-Tsai Lee, Shaw-Ji Shiah, Chien-Ming Lee, Ying‐Chung Wang · 2007 · IEEE Transactions on Vehicular Technology
- The anthroform biorobotic arm: A system for the study of spinal circuitsBlake Hannaford, Jack M. Winters, Ching-Ping Chou · 1995 · Annals of Biomedical Engineering
- Neural network solution for the forward kinematics problem of a Stewart platformZ. Geng, L. Haynes · 2002 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Neural-fuzzy control system for robotic manipulatorsPeng Li, Peng-Yung Woo · 2002 · IEEE Control Systems
- Making friends on the fly: Cooperating with new teammatesSamuel Barrett, Avi Rosenfeld, Sarit Kraus, Peter Stone · 2016 · Artificial Intelligence
- Observations on morphological associative memories and the kernel methodPeter Sussner · 2000 · Neurocomputing
- Reasonable performance in less learning time by real robot based on incremental state space segmentationYasutake Takahashi, Minoru Asada, Koh Hosoda · 2002
- Modeling and Control of Robotic Manipulators Based on Artificial Neural Networks: A ReviewZhaobing Liu, Kerui Peng, Lvpeng Han, Shengchuang Guan · 2023 · Iranian Journal of Science and Technology Transactions of Mechanical Engineering
- Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc TeamworkSamuel Barrett, Peter Stone · 2015 · Proceedings of the AAAI Conference on Artificial Intelligence
- Intelligent controlKarl Johan Åström, Thomas J. McAvoy · 1992 · Journal of Process Control
- Explorations in efficient reinforcement learningMarco Wiering · 1999 · UvA-DARE (University of Amsterdam)
- A Mutual Distortion and Impairment Compensator for Wideband Direct-Conversion Transmitters Using Neural NetworksMeenakshi Rawat, Fadhel M. Ghannouchi · 2012 · IEEE Transactions on Broadcasting
- CMAC neural network controller for fuel-injection systemsHitoshi Shiraishi, Susan L. Ipri, Dong‐il Cho · 1995 · IEEE Transactions on Control Systems Technology
- A study on the brachiation type of mobile robot (heuristic creation of driving input and control using CMAC)Toshio Fukuda, F. Saito, Fumihito Arai · 2002
- Fuzzy Brain Emotional Learning Control System Design for Nonlinear SystemsChih‐Min Lin, Chang-Chih Chung · 2015 · International Journal of Fuzzy Systems
- TSK Fuzzy CMAC-Based Robust Adaptive Backstepping Control for Uncertain Nonlinear SystemsChih‐Min Lin, Hsin-Yi Li · 2012 · IEEE Transactions on Fuzzy Systems
- Transferring knowledge as heuristics in reinforcement learning: A case-based approachReinaldo A. C. Bianchi, Luiz Antonio Celiberto Junior, Paulo Eduardo Santos, Jackson P. Matsuura, Ramón López de Mántaras · 2015 · Artificial Intelligence
- Multi-agent reinforcement learning: weighting and partitioningRuiji Sun, Todd S. Peterson · 1999 · Neural Networks
- Role of the olivo-cerebellar complex in motor learning and controlNicolas Schweighofer, Eric J. Lang, Mitsuo Kawato · 2013 · Frontiers in Neural Circuits
- A real-time, unsupervised neural network for the low-level control of a mobile robot in a nonstationary environmentEduardo Zalama, Paolo Gaudiano, Juan López Coronado · 1995 · Neural Networks
- Neural controller for adaptive movements with unforeseen payloadsMichael Kuperstein, Jyhpyng Wang · 1990 · IEEE Transactions on Neural Networks
- Decomposed Fuzzy Systems and Their Application in Direct Adaptive Fuzzy ControlYao‐Chu Hsueh, Shun‐Feng Su, Ming-Chang Chen · 2014 · IEEE Transactions on Cybernetics
- Adaptive Dynamic Sliding-Mode Fuzzy CMAC for Voice Coil Motor Using Asymmetric Gaussian Membership FunctionChih‐Min Lin, Hsin-Yi Li · 2014 · IEEE Transactions on Industrial Electronics
- Robust Fault-Tolerant Control for a Biped Robot Using a Recurrent Cerebellar Model Articulation ControllerChih‐Min Lin, Chiu-Hsiung Chen · 2007 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- LMS learning algorithms: misconceptions and new results on converenceZi-Qin Wang, MICHAEL T. MANRY, Jeffrey L. Schiano · 2000 · IEEE Transactions on Neural Networks
- FCMAC: A fuzzified cerebellar model articulation controller with self-organizing capacityJunhong Nie, D.A. Linkens · 1994 · Automatica
- MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groupsFrancisco Martínez-Gil, Miguel Lozano, Fernando Fernández · 2014 · Simulation Modelling Practice and Theory
- Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown TehranMohammad Aslani, Stefan Seipel, Mohammad Saadi Mesgari, Marco Wiering · 2018 · Advanced Engineering Informatics