Publications

publications by categories in reversed chronological order

Under Review

2025

  1. Survey
    Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches
    S Sivaranjani, Yuanyuan Shi, Nikolay Atanasov, Thai Duong , Jie Feng, and 4 more authors
    2025

Journal Articles

2025

  1. Physics-informed Multi-agent Reinforcement Learning for Distributed Multi-robot Problems
    Eduardo Sebastian, Thai Duong , Nikolay Atanasov, Eduardo Montijano, and Carlos Sagüés
    IEEE Transactions on Robotics, 2025
  2. Learned IMU Bias Prediction for Invariant Visual Inertial Odometry
    Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong , and Nikolay Atanasov
    IEEE Robotics and Automation Letters, 2025
  3. Variable-frequency model learning and predictive control for jumping maneuvers on legged robots
    IEEE Robotics and Automation Letters, 2025

2024

  1. Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control
    Thai Duong , Abdullah Altawaitan, Jason Stanley, and Nikolay Atanasov

2022

  1. Robust and Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics
    Zhichao Li, Thai Duong , and Nikolay Atanasov
    IEEE Open Journal of Control Systems,, 2022
  2. Adaptive Control of SE(3) Hamiltonian Dynamics With Learned Disturbance Features
    Thai Duong and Nikolay Atanasov
    IEEE Control Systems Letters, 2022
  3. Autonomous Navigation in Unknown Environments With Sparse Bayesian Kernel-Based Occupancy Mapping
    Thai Duong , Michael Yip, and Nikolay Atanasov
    IEEE Transactions on Robotics, 2022

Conference Papers

2025

  1. High Accuracy Aerial Maneuvers on Legged Robots using Variational Integrator Discretized Trajectory Optimization
    Scott Beck, Chuong Nguyen, Thai Duong , Nikolay Atanasov, and Quan Nguyen
    In IEEE International Conference on Robotics and Automation, 2025

2024

  1. Optimal Scene Graph Planning with Large Language Model Guidance
    Zhirui Dai, Arash Asgharivaskasi, Thai Duong , Shusen Lin, Maria-Elizabeth Tzes, and 2 more authors
    In IEEE International Conference on Robotics and Automation, 2024
  2. Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control
    Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong , and Nikolay Atanasov
    In IEEE International Conference on Robotics and Automation, 2024

2023

  1. L4DC
    Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems
    In Learning for Dynamics and Control Conference, 2023
  2. MRS
    Learning to identify graphs from node trajectories in multi-robot networks
    Eduardo Sebastian, Thai Duong , Nikolay Atanasov, Eduardo Montijano, and Carlos Sagüés
    In IEEE International Symposium on Multi-Robot and Multi-Agent Systems, 2023
  3. LEMURS: Learning Distributed Multi-robot Interactions
    Eduardo Sebastian, Thai Duong , Nikolay Atanasov, Eduardo Montijano, and Carlos Sagüés
    In IEEE International Conference on Robotics and Automation, 2023

2022

  1. L4DC
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    Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics
    Zhichao Li, Thai Duong , and Nikolay Atanasov
    In Learning for Dynamics and Control Conference, 2022

2021

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

2020

  1. Autonomous Navigation in Unknown Environments Using Sparse Kernel-based Occupancy Mapping
    Thai Duong , Nikhil Das, Michael Yip, and Nikolay Atanasov
    In IEEE International Conference on Robotics and Automation, 2020