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Zhengxue Zhou

6 accepted papers

2025

GenCo: A Dual VLM Generate-Correct Framework for Adaptive Peg-in-Hole Robotics

ICRA 2025

Recent advances in Vision Language Models (VLMs) have enhanced their application in robotics, encompassing both high-level task planning and low-level action control. Despite their strong performance across various robotic tasks, even for zero-shot scenarios, most VLM applications remain open-loop,

Cited by 4SourcecodeScholar
2023

Physics-Informed Neural Network for Model Prediction and Dynamics Parameter Identification of Collaborative Robot Joints

RA-L 2023

Collaborative robots have promising potential for widespread use in small-and-medium-sized enterprise (SME) manufacturing and production due to the development of increasingly sophisticated Human-Robot Collaboration technologies. However, predicting and identifying the behavior of collaborative robo

Cited by 45SourceScholar
2022

Digital Twin with Integrated Robot-Human/Environment Interaction Dynamics for an Industrial Mobile Manipulator

ICRA 2022poster

To achieve real-time dynamic simulation analysis and optimization design, a dynamic digital twin of a nonholonomic mobile manipulator (one UR5e mounted on an industrial mobile robot MIR 200) has been developed in this paper. First, the digital twin integrated with dynamics of a mobile manipulator is…

Cited by 15SourceScholar
2022

Dynamic Modeling and Digital Twin of a Harmonic Drive Based Collaborative Robot Joint

ICRA 2022poster

Collaborative robots are gradually taking over the leading position in automating the production and manufacturing of the SMEs, where the human-robot collaboration is highly emphasized. Therefore, estimating the force and simulating the performance of robots are of great importance. As a newly intro…

Cited by 12SourceScholar
2021

Deep Learning on 3D Object Detection for Automatic Plug-in Charging Using a Mobile Manipulator

ICRA 2021poster

Increasing research attention has been attracted to automatic plug-in charging in an unmanned and dangerous environment. In this work, we develop an object detection solution based on deep learning on 3D point clouds using a mobile robot manipulator to provide mobility and manipulation. In this solu…

Cited by 15SourceScholar