Dongbin Zhao
Orcid: 0000-0001-8218-9633
According to our database1,
Dongbin Zhao
authored at least 267 papers
between 2003 and 2025.
Collaborative distances:
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Bibliography
2025
2024
Deep-Reinforcement-Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks.
IEEE Trans. Cogn. Dev. Syst., October, 2024
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning.
IEEE Trans. Ind. Informatics, September, 2024
Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations.
IEEE Trans. Artif. Intell., September, 2024
Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility.
IEEE Trans. Artif. Intell., September, 2024
IEEE Trans. Cogn. Dev. Syst., August, 2024
IEEE Trans. Neural Networks Learn. Syst., July, 2024
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving.
IEEE Trans. Intell. Veh., January, 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement.
CoRR, 2024
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization.
CoRR, 2024
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning.
CoRR, 2024
PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning.
CoRR, 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024
Common Sense Language-Guided Exploration and Hierarchical Dense Perception for Instruction Following Embodied Agents.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Vision-based control in the open racing car simulator with deep and reinforcement learning.
J. Ambient Intell. Humaniz. Comput., December, 2023
Multi-task safe reinforcement learning for navigating intersections in dense traffic.
J. Frankl. Inst., November, 2023
IEEE Trans. Cybern., October, 2023
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023
IEEE Trans. Cogn. Dev. Syst., September, 2023
IEEE Trans. Cogn. Dev. Syst., September, 2023
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
IEEE Trans. Neural Networks Learn. Syst., April, 2023
Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition.
IEEE Trans. Games, March, 2023
RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks.
CoRR, 2023
CoRR, 2023
Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information.
CoRR, 2023
CoRR, 2023
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.
CoRR, 2023
CoRR, 2023
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning.
CoRR, 2023
Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Cybern., 2022
IEEE CAA J. Autom. Sinica, 2022
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning.
CoRR, 2022
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation.
CoRR, 2022
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios.
CoRR, 2022
CoRR, 2022
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic.
CoRR, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022
2021
IEEE Trans Autom. Sci. Eng., 2021
CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis.
IEEE Trans. Cogn. Dev. Syst., 2021
MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation.
Neurocomputing, 2021
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search.
CoRR, 2021
CoRR, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021
2020
IEEE Trans. Veh. Technol., 2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment.
IEEE Trans. Neural Networks Learn. Syst., 2020
LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control.
IEEE Trans. Intell. Transp. Syst., 2020
Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game.
Inf. Sci., 2020
IEEE CAA J. Autom. Sinica, 2020
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint.
CoRR, 2020
CoRR, 2020
Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate.
CoRR, 2020
Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems.
IEEE Trans. Smart Grid, 2019
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning.
IEEE Trans. Emerg. Top. Comput. Intell., 2019
IEEE Trans. Cybern., 2019
IEEE Trans. Control. Syst. Technol., 2019
Soft Comput., 2019
Deep sparse representation-based mid-level visual elements discovery in fine-grained classification.
Soft Comput., 2019
IEEE Comput. Intell. Mag., 2019
Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes].
IEEE Comput. Intell. Mag., 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Policy Iteration for H<sub>∞</sub> Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming.
IEEE Trans. Cybern., 2018
Inf. Sci., 2018
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving.
CoRR, 2018
Comprehensive comparison of online ADP algorithms for continuous-time optimal control.
Artif. Intell. Rev., 2018
IEEE Access, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A temporal-based deep learning method for multiple objects detection in autonomous driving.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018
2017
Event-Triggered H<sub>∞</sub> Control for Continuous-Time Nonlinear System via Concurrent Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data.
IEEE Trans. Neural Networks Learn. Syst., 2017
Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control.
IEEE Trans. Neural Networks Learn. Syst., 2017
Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2017
IEEE Trans. Cybern., 2017
IEEE Trans. Cogn. Dev. Syst., 2017
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs.
Neurocomputing, 2017
A Semi-Supervised Predictive Sparse Decomposition Based on Task-Driven Dictionary Learning.
Cogn. Comput., 2017
Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier].
IEEE Comput. Intell. Mag., 2017
Event-triggered integral reinforcement learning for nonlinear continuous-time systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
FMR-GA - A Cooperative Multi-agent Reinforcement Learning Algorithm Based on Gradient Ascent.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2016
IEEE Trans. Fuzzy Syst., 2016
Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics.
IEEE Trans. Cybern., 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Cognitive Systems and Signal Processing, 2016
2015
MEC - A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015
GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans Autom. Sci. Eng., 2015
A data-based online reinforcement learning algorithm satisfying probably approximately correct principle.
Neural Comput. Appl., 2015
Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems.
Neurocomputing, 2015
Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems.
Cogn. Comput., 2015
IEEE Comput. Intell. Mag., 2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
IEEE Trans. Syst. Man Cybern. Syst., 2014
Neurocomputing, 2014
Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay.
Neurocomputing, 2014
Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
A data-based online reinforcement learning algorithm with high-efficient exploration.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
2013
Neural Comput. Appl., 2013
A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints.
Neural Comput. Appl., 2013
Neural Comput. Appl., 2013
A prior-free encode-decode change detection test to inspect datastreams for concept drift.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Adaptive optimal control for the uncertain driving habit problem in adaptive cruise control system.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Real-time tracking on adaptive critic design with uniformly ultimately bounded condition.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
2012
IEEE Trans. Syst. Man Cybern. Part C, 2012
Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming.
IEEE Trans Autom. Sci. Eng., 2012
Neurocomputing, 2012
Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming.
Autom., 2012
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
The Optimal Control of Discrete-Time Delay Nonlinear System with Dual Heuristic Dynamic Programming.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
2011
IEEE Trans. Neural Networks, 2011
IEEE Trans. Intell. Transp. Syst., 2011
J. Adv. Comput. Intell. Intell. Informatics, 2011
Neural network based online traffic signal controller design with reinforcement training.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011
Neural-network-based optimal control for a class of nonlinear cdiscrete-time systems with control constraints using the citerative GDHP algorithm.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
Adaptive dynamic programming for optimal control of unknown nonlinear discrete-time systems.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
A comparative study of urban traffic signal control with reinforcement learning and Adaptive Dynamic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2010
A traffic signal control algorithm for isolated intersections based on adaptive dynamic programming.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010
2009
Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach.
IEEE Trans. Syst. Man Cybern. Part B, 2009
Adaptive Integrated Control for Omnidirectional Mobile Manipulators Based on Neural-Network.
Int. J. Cogn. Informatics Nat. Intell., 2009
Intell. Autom. Soft Comput., 2009
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programming.
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the FUZZ-IEEE 2009, 2009
Proceedings of the FUZZ-IEEE 2009, 2009
Proceedings of the American Control Conference, 2009
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009
2008
IEEE Intell. Syst., 2008
Adaptive Dynamic Programming for Multi-intersections Traffic Signal Intelligent Control.
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Trajectory tracking control of omnidirecitonal wheeled mobile manipulators: Robust neural network based sliding mode approach.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008
Control of a class of under-actuated systems with saturation using hierarchical sliding mode.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008
A Fuzzy Logic Controller with Adaptive Dynamic Programming Optimization for Traffic Signals.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
Proceedings of the American Control Conference, 2008
Adaptive hybrid control for omnidirectional mobile manipulators using neural-network.
Proceedings of the American Control Conference, 2008
Proceedings of the American Control Conference, 2008
Robust control using incremental sliding mode for underactuated systems with mismatched uncertainties.
Proceedings of the American Control Conference, 2008
2007
BP neural network prediction-based variable-period sampling approach for networked control systems.
Appl. Math. Comput., 2007
Appl. Math. Comput., 2007
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Advances in Neural Networks, 2007
A Comparison of Four Data Mining Models: Bayes, Neural Network, SVM and Decision Trees in Identifying Syndromes in Coronary Heart Disease.
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Advances in Neural Networks, 2007
Motion regulation of redundantly actuated omni-directional Wheeled Mobile Robots with internal force control.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007
Robust Control Using Sliding Mode for a Class of Under-Actuated Systems With Mismatched Uncertainties.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007
Proceedings of the American Control Conference, 2007
Proceedings of the American Control Conference, 2007
Unified Model and Robust Neural-Network Control of Omnidirectional Mobile Manipulators.
Proceedings of the Six IEEE International Conference on Cognitive Informatics, 2007
2006
Proceedings of the Intelligence and Security Informatics, International Workshop, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006
Robot Planning with Artificial Potential Field Guided Ant Colony Optimization Algorithm.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006
Proceedings of the Intelligent Computing, 2006
Proceedings of the Intelligent Computing, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
Proceedings of the American Control Conference, 2006
2005
A computed torque controller for uncertain robotic manipulator systems: Fuzzy approach.
Fuzzy Sets Syst., 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005
Proceedings of the American Control Conference, 2005
Robust motion control for nonholonomic constrained mechanical systems: sliding mode approach.
Proceedings of the American Control Conference, 2005
Adaptive inverse disturbance canceling control system based on least square support vector machines.
Proceedings of the American Control Conference, 2005
2004
Passive Adaptive Grasp Multi-fingered Humanoid Robot Hand with High Under-actuated Function.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
Proceedings of the 8th International Conference on Control, 2004
Proceedings of the 8th International Conference on Control, 2004
Proceedings of the 8th International Conference on Control, 2004
Swing-free transporting of two-dimensional overhead crane using sliding mode fuzzy control.
Proceedings of the 2004 American Control Conference, 2004
2003
Under-actuated passive adaptive grasp humanoid robot hand with control of grasping force.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003