Robust Kalman Filtering Cooperated Elman Neural Network Learning for Vision-Sensing-Based Robotic Manipulation with Global Stability. - Xungao Zhong; Xunyu Zhong; Xiafu Peng (Sensors, 2013)

Velocity-Change-Space-based dynamic motion planning for mobile robots navigation. - Xunyu Zhong; Xungao Zhong; Xiafu Peng (Neurocomputing, 2014)

Robots visual servo control with features constraint employing Kalman-neural-network filtering scheme. - Xungao Zhong; Xunyu Zhong; Xiafu Peng (Neurocomputing, 2015)

VCS-based motion planning for distributed mobile robots: collision avoidance and formation. - Xunyu Zhong; Xungao Zhong; Xiafu Peng (Soft Comput., 2016)

Fault Diagnosis of Nonlinear Uncertain Systems with Triangular Form. - Qi Ding; Xiafu Peng; Xunyu Zhong; Xiaoqiang Hu (J. Control. Sci. Eng., 2017)

Adaptive Obstacle Detection for Mobile Robots in Urban Environments Using Downward-Looking 2D LiDAR. - Cong Pang; Xunyu Zhong; Huosheng Hu; Jun Tian; Xiafu Peng; Jianping Zeng (Sensors, 2018)

An Adaptive Unsupervised Learning Framework for Monocular Depth Estimation. - Delong Yang; Xunyu Zhong; Lixiong Lin; Xiafu Peng (IEEE Access, 2019)

Adaptive Neuro-Filtering Based Visual Servo Control of a Robotic Manipulator. - Xungao Zhong; Xunyu Zhong; Huosheng Hu; Xiafu Peng (IEEE Access, 2019)

Unsupervised framework for depth estimation and camera motion prediction from video. - Delong Yang; Xunyu Zhong; Dongbing Gu; Xiafu Peng; Huosheng Hu (Neurocomputing, 2020)

Hybrid Path Planning Based on Safe A* Algorithm and Adaptive Window Approach for Mobile Robot in Large-Scale Dynamic Environment. - Xunyu Zhong; Jun Tian; Huosheng Hu; Xiafu Peng (J. Intell. Robotic Syst., 2020)

Self-learning Visual Servoing for Robot Manipulation in Unstructured Environments. - Xungao Zhong; Chaoquan Shi; Jun Li 002; Jing Zhao; Xunyu Zhong (ICIRA (2), 2021)

A nonparametric-learning visual servoing framework for robot manipulator in unstructured environments. - Xungao Zhong; Xunyu Zhong; Huosheng Hu; Xiafu Peng (Neurocomputing, 2021)

LRDNet: A lightweight and efficient network with refined dual attention decorder for real-time semantic segmentation. - Mingxi Zhuang; Xunyu Zhong; Dongbing Gu; Liying Feng; Xungao Zhong; Huosheng Hu (Neurocomputing, 2021)

LSD-based adaptive lane detection and tracking for ADAS in structured road environment. - Jun Tian; Shiwang Liu; Xunyu Zhong; Jianping Zeng (Soft Comput., 2021)

Pixel-Reasoning-Based Robotics Fine Grasping for Novel Objects with Deep EDINet Structure. - Chaoquan Shi; Chunxiao Miao; Xungao Zhong; Xunyu Zhong; Huosheng Hu; Qiang Liu 003 (Sensors, 2022)

Multimodal Information Fusion for High-Robustness and Low-Drift State Estimation of UGVs in Diverse Scenes. - Dongjie Wu; Xunyu Zhong; Xiafu Peng; Huosheng Hu; Qiang Liu 003 (IEEE Trans. Instrum. Meas., 2022)

DR-Informed-RRT* Algorithm: Efficient Path Planning for Quadruped Robots in Complex Environments. - Haoyu Jiang; Qiao Zhou; Yulong Zhang; Xungao Zhong; Xunyu Zhong (ICIRA (8), 2023)

Real-Time Elevation Mapping with Bayesian Ground Filling and Traversability Analysis for UGV Navigation. - Han Xie; Xunyu Zhong; Bushi Chen; Pengfei Peng; Huosheng Hu; Qiang Liu 003 (IROS, 2023)

RSPMP: real-time semantic perception and motion planning for autonomous navigation of unmanned ground vehicle in off-road environments. - Denglong Chen; Mingxi Zhuang; Xunyu Zhong; Wenhong Wu; Qiang Liu 003 (Appl. Intell., 2023)

LIO-Fusion: Reinforced LiDAR Inertial Odometry by Effective Fusion With GNSS/Relocalization and Wheel Odometry. - Wenhong Wu; Xunyu Zhong; Dongjie Wu; Bushi Chen; Xungao Zhong; Qiang Liu 003 (IEEE Robotics Autom. Lett., 2023)

SLAM-RAMU: 3D LiDAR-IMU lifelong SLAM with relocalization and autonomous map updating for accurate and reliable navigation. - Bushi Chen; Xunyu Zhong; Han Xie; Pengfei Peng; Huosheng Hu; Xungao Zhong; Qiang Liu 003 (Ind. Robot, 2024)

Real-Time Support Terrain Mapping and Terrain Adaptive Local Planning for Quadruped Robots. - Han Xie; Chang Cui; Xunyu Zhong; Xungao Zhong; Qiang Liu 003 (IEEE Robotics Autom. Lett., 2024)

RIGNet: Robot Intention Grasp for Dense Stacked Targets With Multi-Task Siamese Schema Through RoIs Learning. - Xungao Zhong; Tao Gong; Junzhi Yu; Chengxian Zhou; Xunyu Zhong; Qiang Liu 003 (IEEE Trans Autom. Sci. Eng., 2025)

SS-ARGNet: A Novel Cascaded Schema for Robots' 7-DoF Grasping in Adjacent and Stacked Object Scenarios. - Xungao Zhong; Jiaguo Luo; Xunyu Zhong; Huosheng Hu; Qiang Liu 003 (IEEE Trans. Instrum. Meas., 2025)