Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping. - Thai Duong 001; Nikhil Das; Michael C. Yip; Nikolay Atanasov 001 (ICRA, 2020)

Safe Robot Navigation in Cluttered Environments using Invariant Ellipsoids and a Reference Governor. - Zhichao Li; Thai Duong 001; Nikolay Atanasov 001 (CoRR, 2020)

Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control. - Thai Duong 001; Nikolay A. Atanasov (Robotics: Science and Systems, 2021)

Learning Adaptive Control for SE(3) Hamiltonian Dynamics. - Thai Duong 001; Nikolay Atanasov 001 (CoRR, 2021)

Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. - Zhichao Li; Thai Duong 001; Nikolay Atanasov 001 (L4DC, 2022)

Physics-guided Learning-based Adaptive Control on the SE(3) Manifold. - Thai Duong 001; Nikolay Atanasov 001 (CoRR, 2022)

Robust and Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. - Zhichao Li; Thai Duong 001; Nikolay Atanasov 001 (CoRR, 2022)

Adaptive Control of SE(3) Hamiltonian Dynamics With Learned Disturbance Features. - Thai Duong 001; Nikolay Atanasov 001 (IEEE Control. Syst. Lett., 2022)

Autonomous Navigation in Unknown Environments With Sparse Bayesian Kernel-Based Occupancy Mapping. - Thai Duong 001; Michael C. Yip; Nikolay Atanasov 001 (IEEE Trans. Robotics, 2022)

LEMURS: Learning Distributed Multi-Robot Interactions. - Eduardo Sebastián; Thai Duong 001; Nikolay Atanasov 001; Eduardo Montijano; Carlos Sagüés (ICRA, 2023)

Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems. - Valentin Duruisseaux; Thai Duong 001; Melvin Leok; Nikolay Atanasov 001 (L4DC, 2023)

Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks. - Eduardo Sebastián; Thai Duong 001; Nikolay Atanasov 001; Eduardo Montijano; Carlos Sagüés (MRS, 2023)

Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control. - Abdullah Altawaitan; Jason Stanley; Sambaran Ghosal; Thai Duong 001; Nikolay Atanasov 001 (ICRA, 2024)

Optimal Scene Graph Planning with Large Language Model Guidance. - Zhirui Dai; Arash Asgharivaskasi; Thai Duong 001; Shusen Lin; Maria-Elizabeth Tzes; George J. Pappas; Nikolay Atanasov 001 (ICRA, 2024)

Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems. - Eduardo Sebastián; Thai Duong 001; Nikolay Atanasov 001; Eduardo Montijano; Carlos Sagüés (CoRR, 2024)

Adaptive-Frequency Model Learning and Predictive Control for Dynamic Maneuvers on Legged Robots. - Chuong Nguyen; Abdullah Altawaitan; Thai Duong 001; Nikolay Atanasov 001; Quan Nguyen 004 (CoRR, 2024)

Port-Hamiltonian Neural ODE Networks on Lie Groups for Robot Dynamics Learning and Control. - Thai Duong 001; Abdullah Altawaitan; Jason Stanley; Nikolay Atanasov 001 (IEEE Trans. Robotics, 2024)

Physics-Informed Multiagent Reinforcement Learning for Distributed Multirobot Problems. - Eduardo Sebastián; Thai Duong 001; Nikolay Atanasov 001; Eduardo Montijano; Carlos Sagüés (IEEE Trans. Robotics, 2025)

Variable-Frequency Model Learning and Predictive Control for Jumping Maneuvers on Legged Robots. - Chuong Nguyen; Abdullah Altawaitan; Thai Duong 001; Nikolay Atanasov 001; Quan Nguyen 004 (IEEE Robotics Autom. Lett., 2025)

Learned IMU Bias Prediction for Invariant Visual Inertial Odometry. - Abdullah Altawaitan; Jason Stanley; Sambaran Ghosal; Thai Duong 001; Nikolay Atanasov 001 (CoRR, 2025)