Items where Author is "Zhong, Xungao"

Article

Zhong, Xungao and Luo, Jiaoguo and Zhong, Xunyu and Hu, Huosheng and Liu, Qiang (2025) SS-ARGNet: A Novel Cascaded Schema for Robots’ 7-DoF Grasping in Adjacent and Stacked Object Scenarios. IEEE Transactions on Instrumentation and Measurement, 74. p. 2509312. DOI https://doi.org/10.1109/tim.2025.3544720

Tian, Jun and Zhong, Xungao and Peng, Xiafu and Hu, Huosheng and Liu, Qiang (2024) Model-free visual servoing based on active disturbance rejection control and adaptive estimator for robotic manipulation without calibration. Industrial Robot: the international journal of robotics research and application, 51 (5). pp. 820-836. DOI https://doi.org/10.1108/ir-12-2023-0347

Zhong, Xungao and Chen, Yijun and Luo, Jiaguo and Shi, Chaoquan and Hu, Huosheng (2024) A Novel Grasp Detection Algorithm with Multi-Target Semantic Segmentation for a Robot to Manipulate Cluttered Objects. Machines, 12 (8). p. 506. DOI https://doi.org/10.3390/machines12080506

Chen, Bushi and Zhong, Xunyu and Xie, Han and Peng, Pengfei and Hu, Huosheng and Zhong, Xungao and Liu, Qiang (2024) SLAM-RAMU: 3D LiDAR-IMU lifelong SLAM with relocalization and autonomous map updating for accurate and reliable navigation. Industrial Robot, 51 (2). pp. 219-235. DOI https://doi.org/10.1108/ir-09-2023-0223

Shi, Chaoquan and Miao, Chunxiao and Zhong, Xungao and Zhong, Xunyu and Hu, Huosheng and Liu, Qiang (2022) Pixel-Reasoning-Based Robotics Fine Grasping for Novel Objects with Deep EDINet Structure. Sensors, 22 (11). p. 4283. DOI https://doi.org/10.3390/s22114283

Zhuang, Mingxi and Zhong, Xunyu and Gu, Dongbing and Feng, Liying and Zhong, Xungao and Hu, Huosheng (2021) LRDNet: A lightweight and efficient network with refined dual attention decorder for real-time semantic segmentation. Neurocomputing, 459. pp. 349-360. DOI https://doi.org/10.1016/j.neucom.2021.07.019

Zhong, Xungao and Zhong, Xunyu and Hu, Huosheng and Peng, Xiafu (2019) Adaptive Neuro-Filtering Based Visual Servo Control of a Robotic Manipulator. IEEE Access, 7. pp. 76891-76901. DOI https://doi.org/10.1109/access.2019.2920941