Kong Yao Chee - RankMe

18 papers A* 2A 1Misc 1Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Flying Quadrotors in Tight Formations Using Learning-Based Model Predictive Control. ICRA Kong Yao Chee, Pei-An Hsieh, George J. Pappas, M. Ani Hsieh
2025	J	`jnl`	Online Adaptation for Flying Quadrotors in Tight Formations. CoRR Pei-An Hsieh, Kong Yao Chee, M. Ani Hsieh
2024	J	`jnl`	Flying Quadrotors in Tight Formations using Learning-based Model Predictive Control. CoRR Kong Yao Chee, Pei-An Hsieh, George J. Pappas, M. Ani Hsieh
2024	—	`conf`	Uncertainty quantification and robustification of model-based controllers using conformal prediction. L4DC Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas
2023	A	`conf`	Enhancing Sample Efficiency and Uncertainty Compensation in Learning-Based Model Predictive Control for Aerial Robots. IROS Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas
2023	J	`jnl`	Enhancing Sample Efficiency and Uncertainty Compensation in Learning-based Model Predictive Control for Aerial Robots. CoRR Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas
2023	A*	`conf`	LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations. ICRA Kong Yao Chee, M. Ani Hsieh
2023	—	`conf`	Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles. L4DC Kong Yao Chee, M. Ani Hsieh, Nikolai Matni
2023	—	`conf`	Safety Filter Design for Neural Network Systems via Convex Optimization. CDC Shaoru Chen, Kong Yao Chee, Nikolai Matni, M. Ani Hsieh, George J. Pappas
2023	J	`jnl`	Safety Filter Design for Neural Network Systems via Convex Optimization. CoRR Shaoru Chen, Kong Yao Chee, Nikolai Matni, M. Ani Hsieh, George J. Pappas
2023	—	`conf`	Uncertainty Quantification for Learning-based MPC using Weighted Conformal Prediction. CDC Kong Yao Chee, M. Ani Hsieh, George J. Pappas
2022	J	`jnl`	KNODE-MPC: A Knowledge-Based Data-Driven Predictive Control Framework for Aerial Robots. IEEE Robotics Autom. Lett. Kong Yao Chee, Tom Z. Jiahao, M. Ani Hsieh
2022	J	`jnl`	LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations. CoRR Kong Yao Chee, M. Ani Hsieh
2022	J	`jnl`	Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles. CoRR Kong Yao Chee, M. Ani Hsieh, Nikolai Matni
2022	Misc	`conf`	Online Dynamics Learning for Predictive Control with an Application to Aerial Robots. CoRL Tom Z. Jiahao, Kong Yao Chee, M. Ani Hsieh
2022	J	`jnl`	Online Dynamics Learning for Predictive Control with an Application to Aerial Robots. CoRR Tom Z. Jiahao, Kong Yao Chee, M. Ani Hsieh
2021	J	`jnl`	KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots. CoRR Kong Yao Chee, Tom Z. Jiahao, M. Ani Hsieh
2020	—	`conf`	Augmenting Coverage Control with Robot-Environment Dependency for Multi-Robot Systems. SSRR Kong Yao Chee, M. Ani Hsieh