Thai P. Duong

According to our database, Thai P. Duong authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems.

Eduardo Sebastián, Thai P. Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés

CoRR, 2024

2023

Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks.

Eduardo Sebastián, Thai P. Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems.

Valentin Duruisseaux, Thai P. Duong, Melvin Leok, Nikolay Atanasov

Proceedings of the Learning for Dynamics and Control Conference, 2023

LEMURS: Learning Distributed Multi-Robot Interactions.

Eduardo Sebastián, Thai P. Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés

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

2022

Autonomous Navigation in Unknown Environments With Sparse Bayesian Kernel-Based Occupancy Mapping.

Thai P. Duong, Michael C. Yip, Nikolay Atanasov

IEEE Trans. Robotics, 2022

Adaptive Control of SE(3) Hamiltonian Dynamics With Learned Disturbance Features.

Thai P. Duong, Nikolay Atanasov

IEEE Control. Syst. Lett., 2022

Robust and Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics.

Zhichao Li, Thai P. Duong, Nikolay Atanasov

CoRR, 2022

Physics-guided Learning-based Adaptive Control on the SE(3) Manifold.

Thai P. Duong, Nikolay Atanasov

CoRR, 2022

Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics.

Zhichao Li, Thai P. Duong, Nikolay Atanasov

Proceedings of the Learning for Dynamics and Control Conference, 2022

2021

Learning Adaptive Control for SE(3) Hamiltonian Dynamics.

Thai P. Duong, Nikolay Atanasov

CoRR, 2021

Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control.

Thai P. Duong, Nikolay A. Atanasov

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

2020

Safe Robot Navigation in Cluttered Environments using Invariant Ellipsoids and a Reference Governor.

Zhichao Li, Thai P. Duong, Nikolay Atanasov

CoRR, 2020

Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping.

Thai P. Duong, Nikhil Das, Michael C. Yip, Nikolay Atanasov

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020