Augmenting Coverage Control with Robot-Environment Dependency for Multi-Robot Systems. - Kong Yao Chee; M. Ani Hsieh (SSRR, 2020)

Online Dynamics Learning for Predictive Control with an Application to Aerial Robots. - Tom Z. Jiahao; Kong Yao Chee; M. Ani Hsieh (CoRL, 2022)

KNODE-MPC: A Knowledge-Based Data-Driven Predictive Control Framework for Aerial Robots. - Kong Yao Chee; Tom Z. Jiahao; M. Ani Hsieh (IEEE Robotics Autom. Lett., 2022)

Uncertainty Quantification for Learning-based MPC using Weighted Conformal Prediction. - Kong Yao Chee; M. Ani Hsieh; George J. Pappas (CDC, 2023)

Safety Filter Design for Neural Network Systems via Convex Optimization. - Shaoru Chen; Kong Yao Chee; Nikolai Matni; M. Ani Hsieh; George J. Pappas (CDC, 2023)

LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations. - Kong Yao Chee; M. Ani Hsieh (ICRA, 2023)

Enhancing Sample Efficiency and Uncertainty Compensation in Learning-Based Model Predictive Control for Aerial Robots. - Kong Yao Chee; Thales C. Silva; M. Ani Hsieh; George J. Pappas (IROS, 2023)

Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles. - Kong Yao Chee; M. Ani Hsieh; Nikolai Matni (L4DC, 2023)

Uncertainty quantification and robustification of model-based controllers using conformal prediction. - Kong Yao Chee; Thales C. Silva; M. Ani Hsieh; George J. Pappas (L4DC, 2024)

Flying Quadrotors in Tight Formations using Learning-based Model Predictive Control. - Kong Yao Chee; Pei-An Hsieh; George J. Pappas; M. Ani Hsieh (CoRR, 2024)

Online Adaptation for Flying Quadrotors in Tight Formations. - Pei-An Hsieh; Kong Yao Chee; M. Ani Hsieh (CoRR, 2025)