Protective control for robot manipulator by sliding mode based disturbance reconstruction approach. - Yiyong Sun; Zengjie Zhang; Marion Leibold; Rameez Hayat; Dirk Wollherr; Martin Buss (AIM, 2017)

Integral Sliding-Mode Observer-Based Disturbance Estimation for Euler-Lagrangian Systems. - Zengjie Zhang; Marion Leibold; Dirk Wollherr (IEEE Trans. Control. Syst. Technol., 2020)

Optimal filtering and control of network information epidemics. - Fangzhou Liu; Zengjie Zhang; Martin Buss (Autom., 2021)

Instantaneous Local Control Barrier Function: An Online Learning Approach for Collision Avoidance. - Cong Li; Zengjie Zhang; Ahmed Nesrin; Qingchen Liu; Fangzhou Liu; Martin Buss (CoRR, 2021)

An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory. - Zengjie Zhang; Kun Qian 003; Björn W. Schuller; Dirk Wollherr (IEEE Trans Autom. Sci. Eng., 2021)

A methodical interpretation of adaptive robotics: Study and reformulation. - Amir M. Soufi Enayati; Zengjie Zhang; Homayoun Najjaran (Neurocomputing, 2022)

A High-Fidelity Simulation Platform for Industrial Manufacturing by Incorporating Robotic Dynamics Into an Industrial Simulation Tool. - Zengjie Zhang; Ram Dershan; Amir M. Soufi Enayati; Marjan Yaghoubi; Dean Richert; Homayoun Najjaran (IEEE Robotics Autom. Lett., 2022)

Automated Formation Control Synthesis from Temporal Logic Specifications. - Shuhao Qi; Zengjie Zhang; Sofie Haesaert; Zhiyong Sun (CDC, 2023)

Modularized Control Synthesis for Complex Signal Temporal Logic Specifications. - Zengjie Zhang; Sofie Haesaert (CDC, 2023)

Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving. - Lin-Chi Wu; Zengjie Zhang; Sofie Haesaert; Zhiqiang Ma 001; Zhiyong Sun (IECON, 2023)

Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning. - Ni Dang; Tao Shi; Zengjie Zhang; Wanxin Jin; Marion Leibold; Martin Buss (ITSC, 2023)

Disturbance Estimation for High-Degree-of-Freedom Euler-Lagrangian Systems Using Sliding Mode Observer without Matching Conditions. - Zengjie Zhang; Dirk Wollherr (CoRR, 2023)

Simultaneous Recursive Identification of Parameters and Switching Manifolds Identification of Discrete-Time Switched Linear Systems. - Zengjie Zhang; Yingwei Du; Tong Liu; Fangzhou Liu; Martin Buss (CoRR, 2023)

Human-Robot Skill Transfer with Enhanced Compliance via Dynamic Movement Primitives. - Jayden Hong; Zengjie Zhang; Amir M. Soufi Enayati; Homayoun Najjaran (CoRR, 2023)

Exploiting Symmetry and Heuristic Demonstrations in Off-policy Reinforcement Learning for Robotic Manipulation. - Amir M. Soufi Enayati; Zengjie Zhang; Kashish Gupta; Homayoun Najjaran (CoRR, 2023)

Exploiting Intrinsic Stochasticity of Real-Time Simulation to Facilitate Robust Reinforcement Learning for Robot Manipulation. - Ram Dershan; Amir M. Soufi Enayati; Zengjie Zhang; Dean Richert; Homayoun Najjaran (CoRR, 2023)

Incorporating Target Vehicle Trajectories Predicted by Deep Learning Into Model Predictive Controlled Vehicles. - Ni Dang; Zengjie Zhang; Jizheng Liu; Marion Leibold; Martin Buss (CoRR, 2023)

A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning. - Zengjie Zhang; Fangzhou Liu; Tong Liu; Jianbin Qiu; Martin Buss (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems. - Nhan Khanh Le; Zengjie Zhang (IEEE DataPort, 2023)

Safe Feedback Motion Planning in Unknown Environments: An Instantaneous Local Control Barrier Function Approach. - Cong Li; Zengjie Zhang; Ahmed Nesrin; Qingchen Liu; Fangzhou Liu; Martin Buss (J. Intell. Robotic Syst., 2023)

Risk-Aware MPC for Stochastic Systems with Runtime Temporal Logics. - Maico Hendrikus Wilhelmus Engelaar; Zengjie Zhang; M. Lazar; Sofie Haesaert (ADHS, 2024)

Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications. - Maico Hendrikus Wilhelmus Engelaar; Zengjie Zhang; Eleftherios E. Vlahakis; Dimos V. Dimarogonas; Mircea Lazar; Sofie Haesaert (CDC, 2024)

Risk-Aware MPC for Stochastic Systems with Runtime Temporal Logics. - Maico Hendrikus Wilhelmus Engelaar; Zengjie Zhang; Mircea Lazar; Sofie Haesaert (CoRR, 2024)

Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications. - Maico Hendrikus Wilhelmus Engelaar; Zengjie Zhang; Eleftherios E. Vlahakis; Mircea Lazar; Sofie Haesaert (CoRR, 2024)

VernaCopter: Disambiguated Natural-Language-Driven Robot via Formal Specifications. - Teun van de Laar; Zengjie Zhang; Shuhao Qi; Sofie Haesaert; Zhiyong Sun (CoRR, 2024)

Risk-Aware Autonomous Driving for Linear Temporal Logic Specifications. - Shuhao Qi; Zengjie Zhang; Zhiyong Sun; Sofie Haesaert (CoRR, 2024)

SymAware: A Software Development Framework for Trustworthy Multi-Agent Systems with Situational Awareness. - Ernesto Casablanca; Zengjie Zhang; Gregorio Marchesini; Sofie Haesaert; Dimos V. Dimarogonas; Sadegh Soudjani (CoRR, 2024)

Avoiding Deadlocks Is Not Enough: Analysis and Resolution of Blocked Airplanes. - Shuhao Qi; Zengjie Zhang; Zhiyong Sun; Sofie Haesaert (CoRR, 2024)

Self-supervised graph autoencoder with redundancy reduction for community detection. - Xiaofeng Wang 004; Guodong Shen; Zengjie Zhang; Shuaiming Lai; Shuailei Zhu; Yuntao Chen; Daying Quan (Neurocomputing, 2024)

Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning. - Zengjie Zhang; Jayden Hong; Amir M. Soufi Enayati; Homayoun Najjaran (IEEE Trans. Robotics, 2024)

Adaptive Observer for a Class of Systems With Switched Unknown Parameters Using DREM. - Tong Liu; Zengjie Zhang; Fangzhou Liu; Martin Buss (IEEE Trans. Autom. Control., 2024)

Facilitating Sim-to-Real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot Manipulation. - Amir M. Soufi Enayati; Ram Dershan; Zengjie Zhang; Dean Richert; Homayoun Najjaran (IEEE Trans. Artif. Intell., 2024)

Intention-Aware Control Based on Belief-Space Specifications and Stochastic Expansion. - Zengjie Zhang (IEEE DataPort, 2024)

Multi-view knowledge graph convolutional networks for recommendation. - Xiaofeng Wang 004; Zengjie Zhang; Guodong Shen; Shuaiming Lai; Yuntao Chen; Shuailei Zhu (Appl. Soft Comput., 2025)

Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems. - Qingchen Liu; Zengjie Zhang; Nhan Khanh Le; Jiahu Qin; Fangzhou Liu; Sandra Hirche (IEEE Trans Autom. Sci. Eng., 2025)

Intention-Aware Control Based on Belief-Space Specifications and Stochastic Expansion. - Zengjie Zhang; Zhiyong Sun; Sofie Haesaert (IEEE Trans. Intell. Veh., 2025)

A Vehicle-in-the-Loop Simulator with AI-Powered Digital Twins for Testing Automated Driving Controllers. - Zengjie Zhang; Giannis Badakis; Michalis Galanis; Adem Bavarsi; Edwin Van Hassel; Mohsen Alirezaei; Sofie Haesaert (CoRR, 2025)