A Data-Driven Iterative Learning Algorithm for Robot Kinematics Approximation*. - Huu-Thiet Nguyen; Chien Chern Cheah; Kar-Ann Toh (AIM, 2019)

Data-Driven Neural Network-Based Learning For Regression Problems In Robotics. - Huu-Thiet Nguyen; Chien Chern Cheah (IECON, 2020)

Data-driven Learning for Approximation of Nonlinear Functions with Stochastic Disturbances. - Quang Minh Ta; Huu-Thiet Nguyen; Chien Chern Cheah (IEEM, 2020)

A Stable Control Strategy for Industrial Robots with External Feedback Loop. - Gulam Dastagir Khan; Huu-Thiet Nguyen; Chien Chern Cheah (ICRA, 2021)

A Layer-Wise Theoretical Framework for Deep Learning of Convolutional Neural Networks. - Huu-Thiet Nguyen; Sitan Li; Chien Chern Cheah (IEEE Access, 2022)

An analytic layer-wise deep learning framework with applications to robotics. - Huu-Thiet Nguyen; Chien Chern Cheah; Kar-Ann Toh (Autom., 2022)

A Theoretical Framework for End-to-End Learning of Deep Neural Networks With Applications to Robotics. - Sitan Li; Huu-Thiet Nguyen; Chien Chern Cheah (IEEE Access, 2023)

Convolutional Neural Network-Based Robot Control for an Eye-in-Hand Camera. - Jia Guo; Huu-Thiet Nguyen; Chao Liu 003; Chien Chern Cheah (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Haptic Rapidly-Exploring Random Trees: A Sampling-based Planner for Quasi-static Manipulation Tasks. - Lin Yang; Huu-Thiet Nguyen; Donghan Yu; Chen Lv; Domenico Campolo (CoRR, 2025)