2025
IM-TD3: A Reinforcement Learning Approach for Liquid Rocket Engine Start-Up Optimization.
IEEE Trans. Aerosp. Electron. Syst., April, 2025
Versatile, Robust, and Explosive Locomotion with Rigid and Articulated Compliant Quadrupeds.
CoRR, April, 2025
Impedance and Stability Targeted Adaptation for Aerial Manipulator with Unknown Coupling Dynamics.
CoRR, April, 2025
TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion.
CoRR, March, 2025
Explosive Jumping with Rigid and Articulated Soft Quadrupeds via Example Guided Reinforcement Learning.
CoRR, March, 2025
Toward Scalable Multirobot Control: Fast Policy Learning in Distributed MPC.
IEEE Trans. Robotics, 2025
Hierarchical Physics-Informed Neural Network for Rotor System Health Assessment.
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IEEE Trans Autom. Sci. Eng., 2025
Robust Bayesian inference for moving horizon estimation.
Autom., 2025
SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots.
Proceedings of the 8th IEEE International Conference on Soft Robotics, 2025
Multi-objective Sequential Decision Making for Holistic Supply Chain Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2025
2024
Model-Based Safe Reinforcement Learning With Time-Varying Constraints: Applications to Intelligent Vehicles.
IEEE Trans. Ind. Electron., October, 2024
Unwieldy Object Delivery With Nonholonomic Mobile Base: A Free Pushing Approach.
IEEE Robotics Autom. Lett., October, 2024
Data-Enabled Tire-Road Friction Estimation Based on Explainable Dynamics Mechanism Under Straight Stationary Driving Maneuvers.
IEEE Trans. Intell. Transp. Syst., June, 2024
DACOOP-A: Decentralized Adaptive Cooperative Pursuit via Attention.
IEEE Robotics Autom. Lett., June, 2024
Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion.
IEEE Trans. Cybern., January, 2024
Deep Koopman learning of nonlinear time-varying systems.
Autom., January, 2024
Cross-Utterance Conditioned VAE for Speech Generation.
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IEEE ACM Trans. Audio Speech Lang. Process., 2024
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination.
J. Artif. Intell. Res., 2024
Enhancing healthcare decision support through explainable AI models for risk prediction.
Decis. Support Syst., 2024
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models.
CoRR, 2024
Modular Adaptive Aerial Manipulation under Unknown Dynamic Coupling Forces.
CoRR, 2024
Spatial-aware decision-making with ring attractors in reinforcement learning systems.
CoRR, 2024
DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models.
CoRR, 2024
HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone Cooperative Pursuit.
CoRR, 2024
TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions.
CoRR, 2024
Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem.
CoRR, 2024
Computation-Aware Learning for Stable Control with Gaussian Process.
Proceedings of the Robotics: Science and Systems XX, 2024
Aligning Individual and Collective Objectives in Multi-Agent Cooperation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Open Ad Hoc Teamwork with Cooperative Game Theory.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
SYNLOCO: Synthesizing Central Pattern Generator and Reinforcement Learning for Quadruped Locomotion.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
2023
Unwieldy Object Delivery With Nonholonomic Mobile Base: A Stable Pushing Approach.
IEEE Robotics Autom. Lett., November, 2023
A Secure Robot Learning Framework for Cyber Attack Scheduling and Countermeasure.
IEEE Trans. Robotics, October, 2023
Deep reinforcement learning control approach to mitigating actuator attacks.
Autom., June, 2023
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games.
Trans. Mach. Learn. Res., 2023
NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification.
CoRR, 2023
Maintaining Visibility of Dynamic Objects in Cluttered Environments Using Mobile Manipulators and Vector Field Inequalities.
IROS, 2023
Sim-and-Real Reinforcement Learning for Manipulation: A Consensus-based Approach.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Cooperative Open-ended Learning Framework for Zero-Shot Coordination.
Proceedings of the International Conference on Machine Learning, 2023
2022
Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022
Learning-Based Multi-Robot Formation Control With Obstacle Avoidance.
IEEE Trans. Intell. Transp. Syst., 2022
Secure Control for Cyber-Physical Systems Under Malicious Attacks.
IEEE Trans. Control. Netw. Syst., 2022
Bayesian Learning to Discover Mathematical Operations in Governing Equations of Dynamic Systems.
CoRR, 2022
Sparse Bayesian deep learning for dynamic system identification.
Autom., 2022
Robust tube-based model predictive control with Koopman operators.
Autom., 2022
Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
Zero-Sum Game-Based Optimal Secure Control Under Actuator Attacks.
IEEE Trans. Autom. Control., 2021
Learning Tracking Control for Cyber-Physical Systems.
IEEE Internet Things J., 2021
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles.
CoRR, 2021
Robust Tube-based Model Predictive Control with Koopman Operators-Extended Version.
CoRR, 2021
Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning.
CoRR, 2021
Dynamic network reconstruction from heterogeneous datasets.
Autom., 2021
Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee.
Autom., 2021
Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Actor-Critic Reinforcement Learning for Control With Stability Guarantee.
IEEE Robotics Autom. Lett., 2020
Asynchronous observer design for switched linear systems: a tube-based approach.
IEEE CAA J. Autom. Sinica, 2020
Lyapunov-Based Reinforcement Learning State Estimator.
CoRR, 2020
Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties.
CoRR, 2020
Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-agent Control.
Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020
Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians.
Proceedings of the 4th Conference on Robot Learning, 2020
Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark.
CoRR, 2019
H<sub>∞</sub> Model-free Reinforcement Learning with Robust Stability Guarantee.
CoRR, 2019
BayesNAS: A Bayesian Approach for Neural Architecture Search.
Proceedings of the 36th International Conference on Machine Learning, 2019
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Identification of Nonlinear State-Space Systems From Heterogeneous Datasets.
IEEE Trans. Control. Netw. Syst., 2018
Data-driven Discovery of Cyber-Physical Systems.
CoRR, 2018
2017
Identification of nonlinear sparse networks using sparse Bayesian learning.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems.
IEEE Trans. Autom. Control., 2016
Linear Dynamic Network Reconstruction from Heterogeneous Datasets.
CoRR, 2016
DropNeuron: Simplifying the Structure of Deep Neural Networks.
CoRR, 2016
On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian Learning Approach.
CoRR, 2016
On Identification of Dynamical Structure Functions: A Sparse Bayesian Learning Approach.
CoRR, 2016
Mixed Neural Network Approach for Temporal Sleep Stage Classification.
CoRR, 2016
Parameter estimation for gene regulatory networks: A two-stage MCMC Bayesian approach.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Online model selection for synthetic gene networks.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Distributed Finite-Time Average Consensus in Digraphs in the Presence of Time Delays.
IEEE Trans. Control. Netw. Syst., 2015
Online fault diagnosis for nonlinear power systems.
Autom., 2015
Identifying biochemical reaction networks from heterogeneous datasets.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
Distributed Reconstruction of Nonlinear Networks: An ADMM Approach.
CoRR, 2014
2013
Real-time fault diagnosis for large-scale nonlinear power networks.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Decentralised minimum-time average consensus in digraphs.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Reconstruction of Arbitrary Biochemical Reaction Networks: A Compressive Sensing Approach
CoRR, 2012
Reconstruction of arbitrary biochemical reaction networks: A compressive sensing approach.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012