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2020 – today
- 2024
[j5]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: 2024-2045 (2024)- [c3]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: 2081-2088 - [c2]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: 263-274 - [i13]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 abs/2404.08517 (2024) - [i12]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 abs/2406.03912 (2024) - [i11]Jiayang Song, Yuheng Huang, Zhehua Zhou, Lei Ma:
Multilingual Blending: LLM Safety Alignment Evaluation with Language Mixture. CoRR abs/2407.07342 (2024) - [i10]Renzhi Wang, Zhehua Zhou, Jiayang Song, Xuan Xie, Xiaofei Xie, Lei Ma:
MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems. CoRR abs/2408.03892 (2024) - [i9]Zhijie Wang, Zhehua Zhou, Jiayang Song, Yuheng Huang, Zhan Shu, Lei Ma:
Towards Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation: An Empirical Study. CoRR abs/2409.12894 (2024) - [i8]Zhijie Wang, Zhehua Zhou, Jiayang Song, Yuheng Huang, Zhan Shu, Lei Ma:
LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation. CoRR abs/2410.05191 (2024) - 2023
- [j4]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): 2513-2527 (2023) - [j3]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): 2478-2491 (2023) - [i7]Xuan Xie, Jiayang Song, Zhehua Zhou, Fuyuan Zhang, Lei Ma:
Mosaic: Model-based Safety Analysis Framework for AI-enabled Cyber-Physical Systems. CoRR abs/2305.03882 (2023) - [i6]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 abs/2308.00055 (2023) - [i5]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 abs/2308.13724 (2023) - [i4]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 abs/2309.06687 (2023) - 2022
- [b1]Zhehua Zhou:
Safe Reinforcement Learning Methods for Complex Dynamical Systems Based on Model Order Reduction Techniques. Technical University of Munich, Germany, 2022 - 2021
- [i3]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 abs/2109.05077 (2021) - 2020
- [j2]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): 1472-1490 (2020) - [i2]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 abs/2006.05681 (2020) - [i1]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 abs/2010.09555 (2020)
2010 – 2019
- 2018
- [j1]Ozgur S. Oguz, Zhehua Zhou, Dirk Wollherr:
A Hybrid Framework for Understanding and Predicting Human Reaching Motions. Frontiers Robotics AI 5: 27 (2018) - 2016
- [c1]Ozgur S. Oguz, Volker Gabler, Gerold Huber, Zhehua Zhou, Dirk Wollherr:
Hybrid Human Motion Prediction for Action Selection Within Human-Robot Collaboration. ISER 2016: 289-298
Coauthor Index
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