Zhehua Zhou
Orcid: 0000-0001-9542-4858
According to our database1,
Zhehua Zhou
authored at least 19 papers
between 2016 and 2024.
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Bibliography
2024
Enabling Versatility and Dexterity of the Dual-Arm Manipulators: A General Framework Toward Universal Cooperative Manipulation.
IEEE Trans. Robotics, 2024
LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation.
CoRR, 2024
Towards Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation: An Empirical Study.
CoRR, 2024
MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems.
CoRR, 2024
CoRR, 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model.
CoRR, 2024
CoRR, 2024
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation.
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.
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.
IEEE Trans. Neural Networks Learn. Syst., May, 2023
Off-Policy Risk-Sensitive Reinforcement Learning-Based Constrained Robust Optimal Control.
IEEE Trans. Syst. Man Cybern. Syst., April, 2023
Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics.
CoRR, 2023
CoRR, 2023
2022
Safe Reinforcement Learning Methods for Complex Dynamical Systems Based on Model Order Reduction Techniques.
PhD thesis, 2022
2021
Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning.
CoRR, 2021
2020
A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation.
IEEE Trans. Robotics, 2020
Online single artificial neural network adaptive critic learning under additive disturbance, state constraints and input saturation.
CoRR, 2020
2018
Frontiers Robotics AI, 2018
2016
Hybrid Human Motion Prediction for Action Selection Within Human-Robot Collaboration.
Proceedings of the International Symposium on Experimental Robotics, 2016