A RGB-D sensor and speech interaction based object manipulation system with improved CBR-BDI reasoning. - Yunhan Lin; Huasong Min; Haotian Zhou; Fan Wu; Zhiheng Xiong (ICCA, 2017)

A Robot Architecture of Hierarchical Finite State Machine for Autonomous Mobile Manipulator. - Haotian Zhou; Huasong Min; Yunhan Lin; Shengnan Zhang (ICIRA (3), 2017)

A Natural Language Interaction Based Automatic Operating System for Industrial Robot. - Yunhan Lin; Huasong Min; Haotian Zhou; Mingyu Chen 004 (ICIC (1), 2018)

CI-SHOT: A Statistical Method for Binary Feature Descriptor on 3D Point Clouds. - Liangjie Du; Huasong Min; Yunhan Lin (ROBIO, 2018)

A Human-Robot-Environment Interactive Reasoning Mechanism for Object Sorting Robot. - Yunhan Lin; Huasong Min; Haotian Zhou; Feilong Pei (IEEE Trans. Cogn. Dev. Syst., 2018)

3D Grasping Pose Detection Method Based on Improved PointNet Network. - Jiahui Chen; Yunhan Lin; Haotian Zhou; Huasong Min (ICCSIP, 2021)

Two-Stage Water Jet Landing Point Prediction Model for Intelligent Water Shooting Robot. - Yunhan Lin; Wenlong Ji; Haowei He; Yaojie Chen (Sensors, 2021)

Multi-stage Objective Function Optimized Hand-Eye Self-calibration of Robot in Autonomous Environment. - Kaibo Liu; Wangli Zheng; Huasong Min; Yunhan Lin (BIC-TA, 2022)

PL-TD3: A Dynamic Path Planning Algorithm of Mobile Robot. - Yijian Tan; Yunhan Lin; Tong Liu; Huasong Min (SMC, 2022)

Generating Manipulation Sequences using Reinforcement Learning and Behavior Trees for Peg-In-Hole Task. - Jiahua Xu; Yunhan Lin; Haotian Zhou; Huasong Min (SMC, 2022)

The Bilinear-MAC Network for Visual Reasoning. - Jiaxing Zeng; Wangli Zheng; Yunhan Lin (BIC-TA (2), 2023)

A 6-DoF Grasping Network Using Feature Augmentation for Novel Domain Generalization. - Liran Zhang; Yunhan Lin; Yan Xu; Huasong Min (ICIC (12), 2024)

Inverse Dynamics Model Learning for Robotic Manipulator Based on Swarm Optimization AdaBoost-LSTM. - Shichao Ai; Yunhan Lin; Wenhui Huang; Huasong Min (ICIRA (1), 2024)

LLM-BT: Performing Robotic Adaptive Tasks based on Large Language Models and Behavior Trees. - Haotian Zhou; Yunhan Lin; Longwu Yan; Jihong Zhu; Huasong Min (ICRA, 2024)

Velocity-aware spatial-temporal attention LSTM model for inverse dynamic model learning of manipulators. - Wenhui Huang; Yunhan Lin; Mingxin Liu; Huasong Min (Frontiers Neurorobotics, 2024)

Damaged Wire Detection and Segmentation Method Based on Lightweight Channel Attention Mechanism and Transfer Learning. - Han Wu; Yunhan Lin; Yaojie Chen; Jianbo Li (CSCWD, 2025)

Achieving adaptive tasks from human instructions for robots using large language models and behavior trees. - Haotian Zhou; Yunhan Lin; Longwu Yan; Huasong Min (Robotics Auton. Syst., 2025)

Generalization of neural network for manipulator inverse dynamics model learning. - Wenhui Huang; Yunhan Lin; Chen Jie; Liu Mingxin; Huasong Min (Appl. Intell., 2025)