Zhehua Zhou

According to our database, Zhehua Zhou authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Guangyao Zhai, Marion Leibold, Fenglei Ni, Zhengyou Zhang, Martin Buss, Yu Zheng

IEEE Trans. Robotics, 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

CoRR, 2024

Multilingual Blending: LLM Safety Alignment Evaluation with Language Mixture.

Jiayang Song, Yuheng Huang, Zhehua Zhou, Lei Ma

CoRR, 2024

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

CoRR, 2024

Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward.

Xuan Xie, Jiayang Song, Zhehua Zhou, Yuheng Huang, Da Song, Lei Ma

CoRR, 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, Dikai Liu, Jianxiong Yin, Simon See

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning.

Zhehua Zhou, Jiayang Song, Kunpeng Yao, Zhan Shu, Lei Ma

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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., May, 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., April, 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

CoRR, 2023

Mosaic: Model-based Safety Analysis Framework for AI-enabled Cyber-Physical Systems.

Xuan Xie, Jiayang Song, Zhehua Zhou, Fuyuan Zhang, Lei Ma

CoRR, 2023

2022

Safe Reinforcement Learning Methods for Complex Dynamical Systems Based on Model Order Reduction Techniques.

Zhehua Zhou

PhD thesis, 2022

2021

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

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

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

2018

A Hybrid Framework for Understanding and Predicting Human Reaching Motions.

Ozgur S. Oguz, Zhehua Zhou, Dirk Wollherr

Frontiers Robotics AI, 2018

2016

Hybrid Human Motion Prediction for Action Selection Within Human-Robot Collaboration.

Ozgur S. Oguz, Volker Gabler, Gerold Huber, Zhehua Zhou, Dirk Wollherr

Proceedings of the International Symposium on Experimental Robotics, 2016