Kong Yao Chee

According to our database, Kong Yao Chee authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Uncertainty quantification and robustification of model-based controllers using conformal prediction.

Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

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

Proceedings of the Learning for Dynamics and Control Conference, 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

LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations.

Kong Yao Chee, M. Ani Hsieh

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Safety Filter Design for Neural Network Systems via Convex Optimization.

Shaoru Chen, Kong Yao Chee, Nikolai Matni, M. Ani Hsieh, George J. Pappas

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Uncertainty Quantification for Learning-based MPC using Weighted Conformal Prediction.

Kong Yao Chee, M. Ani Hsieh, George J. Pappas

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

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

Online Dynamics Learning for Predictive Control with an Application to Aerial Robots.

Tom Z. Jiahao, Kong Yao Chee, M. Ani Hsieh

Proceedings of the Conference on Robot Learning, 2022

2020

Augmenting Coverage Control with Robot-Environment Dependency for Multi-Robot Systems.

Kong Yao Chee, M. Ani Hsieh

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2020