Thai Duong

According to our database, Thai Duong authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

Port-Hamiltonian Neural ODE Networks on Lie Groups for Robot Dynamics Learning and Control.

Thai Duong, Abdullah Altawaitan, Jason Stanley, Nikolay Atanasov

IEEE Trans. Robotics, 2024

Adaptive-Frequency Model Learning and Predictive Control for Dynamic Maneuvers on Legged Robots.

Chuong Nguyen, Abdullah Altawaitan, Thai Duong, Nikolay Atanasov, Quan Nguyen

CoRR, 2024

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

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

CoRR, 2024

Optimal Scene Graph Planning with Large Language Model Guidance.

Zhirui Dai, Arash Asgharivaskasi, Thai Duong, Shusen Lin, Maria-Elizabeth Tzes, George J. Pappas, Nikolay Atanasov

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control.

Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong, Nikolay Atanasov

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

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

Eduardo Sebastián, Thai 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 Duong, Melvin Leok, Nikolay Atanasov

Proceedings of the Learning for Dynamics and Control Conference, 2023

LEMURS: Learning Distributed Multi-Robot Interactions.

Eduardo Sebastián, Thai 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 Duong, Michael C. Yip, Nikolay Atanasov

IEEE Trans. Robotics, 2022

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

Thai Duong, Nikolay Atanasov

IEEE Control. Syst. Lett., 2022

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

Zhichao Li, Thai Duong, Nikolay Atanasov

CoRR, 2022

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

Thai Duong, Nikolay Atanasov

CoRR, 2022

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

Zhichao Li, Thai Duong, Nikolay Atanasov

Proceedings of the Learning for Dynamics and Control Conference, 2022

2021

Learning Adaptive Control for SE(3) Hamiltonian Dynamics.

Thai Duong, Nikolay Atanasov

CoRR, 2021

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

Thai 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 Duong, Nikolay Atanasov

CoRR, 2020

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

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

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