Zengjie Zhang
Orcid: 0000-0003-1875-1032
According to our database1,
Zengjie Zhang
authored at least 33 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Appl. Soft Comput., 2025
2024
Facilitating Sim-to-Real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot Manipulation.
IEEE Trans. Artif. Intell., April, 2024
Adaptive Observer for a Class of Systems With Switched Unknown Parameters Using DREM.
IEEE Trans. Autom. Control., April, 2024
Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning.
IEEE Trans. Robotics, 2024
Neurocomputing, 2024
CoRR, 2024
SymAware: A Software Development Framework for Trustworthy Multi-Agent Systems with Situational Awareness.
CoRR, 2024
CoRR, 2024
Intention-Aware Control Based on Belief-Space Specifications and Stochastic Expansion.
CoRR, 2024
Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications.
CoRR, 2024
2023
Safe Feedback Motion Planning in Unknown Environments: An Instantaneous Local Control Barrier Function Approach.
J. Intell. Robotic Syst., October, 2023
Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems.
Dataset, February, 2023
A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning.
IEEE Trans. Circuits Syst. I Regul. Pap., 2023
Incorporating Target Vehicle Trajectories Predicted by Deep Learning Into Model Predictive Controlled Vehicles.
CoRR, 2023
Exploiting Intrinsic Stochasticity of Real-Time Simulation to Facilitate Robust Reinforcement Learning for Robot Manipulation.
CoRR, 2023
Exploiting Symmetry and Heuristic Demonstrations in Off-policy Reinforcement Learning for Robotic Manipulation.
CoRR, 2023
Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems.
CoRR, 2023
CoRR, 2023
Simultaneous Recursive Identification of Parameters and Switching Manifolds Identification of Discrete-Time Switched Linear Systems.
CoRR, 2023
Disturbance Estimation for High-Degree-of-Freedom Euler-Lagrangian Systems Using Sliding Mode Observer without Matching Conditions.
CoRR, 2023
Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
A High-Fidelity Simulation Platform for Industrial Manufacturing by Incorporating Robotic Dynamics Into an Industrial Simulation Tool.
IEEE Robotics Autom. Lett., 2022
Neurocomputing, 2022
2021
An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory.
IEEE Trans Autom. Sci. Eng., 2021
Instantaneous Local Control Barrier Function: An Online Learning Approach for Collision Avoidance.
CoRR, 2021
2020
Integral Sliding-Mode Observer-Based Disturbance Estimation for Euler-Lagrangian Systems.
IEEE Trans. Control. Syst. Technol., 2020
2017
Protective control for robot manipulator by sliding mode based disturbance reconstruction approach.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017