Hybrid Human Motion Prediction for Action Selection Within Human-Robot Collaboration. - Ozgur S. Oguz; Volker Gabler; Gerold Huber; Zhehua Zhou; Dirk Wollherr (ISER, 2016)

A Hybrid Framework for Understanding and Predicting Human Reaching Motions. - Ozgur S. Oguz; Zhehua Zhou; Dirk Wollherr (Frontiers Robotics AI, 2018)

Online single artificial neural network adaptive critic learning under additive disturbance, state constraints and input saturation. - Cong Li; Fangzhou Liu; Zhehua Zhou; Martin Buss (CoRR, 2020)

A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation. - Zhehua Zhou; Ozgur S. Oguz; Marion Leibold; Martin Buss (IEEE Trans. Robotics, 2020)

Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning. - Zhehua Zhou; Ozgur S. Oguz; Yi Ren; Marion Leibold; Martin Buss (CoRR, 2021)

Safe Reinforcement Learning Methods for Complex Dynamical Systems Based on Model Order Reduction Techniques. - Zhehua Zhou (2022)

Mosaic: Model-based Safety Analysis Framework for AI-enabled Cyber-Physical Systems. - Xuan Xie; Jiayang Song; Zhehua Zhou; Fuyuan Zhang; Lei Ma 003 (CoRR, 2023)

Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics. - Jiayang Song; Zhehua Zhou; Jiawei Liu; Chunrong Fang; Zhan Shu; Lei Ma 003 (CoRR, 2023)

Off-Policy Risk-Sensitive Reinforcement Learning-Based Constrained Robust Optimal Control. - Cong Li; Qingchen Liu; Zhehua Zhou; Martin Buss; Fangzhou Liu (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Learning a Low-Dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems. - Zhehua Zhou; Ozgur S. Oguz; Marion Leibold; Martin Buss (IEEE Trans. Neural Networks Learn. Syst., 2023)

ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning. - Zhehua Zhou; Jiayang Song; Kunpeng Yao; Zhan Shu; Lei Ma 003 (ICRA, 2024)

Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation. - Zhehua Zhou; Jiayang Song; Xuan Xie; Zhan Shu; Lei Ma 003; Dikai Liu; Jianxiong Yin; Simon See (ICSE-SEIP, 2024)

Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward. - Xuan Xie; Jiayang Song; Zhehua Zhou; Yuheng Huang 004; Da Song; Lei Ma 003 (CoRR, 2024)

Multilingual Blending: LLM Safety Alignment Evaluation with Language Mixture. - Jiayang Song; Yuheng Huang 004; Zhehua Zhou; Lei Ma 003 (CoRR, 2024)

MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems. - Renzhi Wang; Zhehua Zhou; Jiayang Song; Xuan Xie; Xiaofei Xie; Lei Ma 003 (CoRR, 2024)

Towards Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation: An Empirical Study. - Zhijie Wang 014; Zhehua Zhou; Jiayang Song; Yuheng Huang 004; Zhan Shu; Lei Ma 003 (CoRR, 2024)

LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation. - Zhijie Wang 014; Zhehua Zhou; Jiayang Song; Yuheng Huang 004; Zhan Shu; Lei Ma 003 (CoRR, 2024)

Enabling Versatility and Dexterity of the Dual-Arm Manipulators: A General Framework Toward Universal Cooperative Manipulation. - Yi Ren; Zhehua Zhou; Ziwei Xu; Yang Yang 031; Guangyao Zhai; Marion Leibold; Fenglei Ni; Zhengyou Zhang; Martin Buss; Yu Zheng 001 (IEEE Trans. Robotics, 2024)

Multilingual Blending: Large Language Model Safety Alignment Evaluation with Language Mixture. - Jiayang Song; Yuheng Huang 004; Zhehua Zhou; Lei Ma 003 (NAACL (Findings), 2025)

VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation. - Zhijie Wang 014; Zhehua Zhou; Jiayang Song; Yuheng Huang 004; Zhan Shu; Lei Ma 003 (Proc. ACM Softw. Eng., 2025)

GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model. - Zhehua Zhou; Xuan Xie; Jiayang Song; Zhan Shu; Lei Ma 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)