Zhehua Zhou

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Motion Prediction

Dynamical Systems

Reinforcement Learning

Top Venues

IEEE Trans. Robotics

IEEE Trans. Neural Networks Learn. Syst.

Publications

Zhehua Zhou, Jiayang Song, Kunpeng Yao, Zhan Shu, Lei Ma
ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning. ICRA (2024)
Zhehua Zhou, Xuan Xie, Jiayang Song, Zhan Shu, Lei Ma
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model. CoRR (2024)
Zhehua Zhou, Jiayang Song, Xuan Xie, Zhan Shu, Lei Ma, Dikai Liu, Jianxiong Yin, Simon See
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation. ICSE-SEIP (2024)
Xuan Xie, Jiayang Song, Zhehua Zhou, Yuheng Huang, Da Song, Lei Ma
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward. CoRR (2024)
Yi Ren, Zhehua Zhou, Ziwei Xu, Yang Yang, Guangyao Zhai, Marion Leibold, Fenglei Ni, Zhengyou Zhang, Martin Buss, Yu Zheng
Enabling Versatility and Dexterity of the Dual-Arm Manipulators: A General Framework Toward Universal Cooperative Manipulation. IEEE Trans. Robotics 40 (2024)
Jiayang Song, Yuheng Huang, Zhehua Zhou, Lei Ma
Multilingual Blending: LLM Safety Alignment Evaluation with Language Mixture. CoRR (2024)
Zhehua Zhou, Jiayang Song, Kunpeng Yao, Zhan Shu, Lei Ma
ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning. CoRR (2023)
Zhehua Zhou, Jiayang Song, Xuan Xie, Zhan Shu, Lei Ma, Dikai Liu, Jianxiong Yin, Simon See
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation. CoRR (2023)
Xuan Xie, Jiayang Song, Zhehua Zhou, Fuyuan Zhang, Lei Ma
Mosaic: Model-based Safety Analysis Framework for AI-enabled Cyber-Physical Systems. CoRR (2023)
Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss
Learning a Low-Dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Jiayang Song, Zhehua Zhou, Jiawei Liu, Chunrong Fang, Zhan Shu, Lei Ma
Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics. CoRR (2023)
Cong Li, Qingchen Liu, Zhehua Zhou, Martin Buss, Fangzhou Liu
Off-Policy Risk-Sensitive Reinforcement Learning-Based Constrained Robust Optimal Control. IEEE Trans. Syst. Man Cybern. Syst. 53 (4) (2023)
Zhehua Zhou, Ozgur S. Oguz, Yi Ren, Marion Leibold, Martin Buss
Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning. CoRR (2021)
Cong Li, Fangzhou Liu, Zhehua Zhou, Martin Buss
Online single artificial neural network adaptive critic learning under additive disturbance, state constraints and input saturation. CoRR (2020)
Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss
A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation. IEEE Trans. Robotics 36 (5) (2020)
Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss
Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems. CoRR (2020)
Ozgur S. Oguz, Zhehua Zhou, Dirk Wollherr
A Hybrid Framework for Understanding and Predicting Human Reaching Motions. Frontiers Robotics AI 5 (2018)
Ozgur S. Oguz, Volker Gabler, Gerold Huber, Zhehua Zhou, Dirk Wollherr
Hybrid Human Motion Prediction for Action Selection Within Human-Robot Collaboration. ISER (2016)