Publications
Research Papers.
Published work, including my undergraduate honors thesis for the sake of nostalgia.
- E. Morales-Cuadrado, S. Coogan, Z. Kakish, and A. Parikh. Submitted to 2027 IEEE International Conference on Robotics and Automation (ICRA). (title redacted until the double-blind review process is complete)
- L. Pinto*, E. Morales-Cuadrado*, S. Coogan, M. A. Wehrmeister, L. Caselatto, and C. E. Magrin. Submitted to 2027 IEEE International Conference on Robotics and Automation (ICRA). *Equal contribution. (title redacted until the double-blind review process is complete)
- M. Cao, A. Harapanahalli, E. Morales-Cuadrado, and S. Coogan, “Trajectory Tracking for Systems with Unknown Time-Varying Disturbances.” IEEE Open Journal of Control Systems (OJ-CSYS), 2026.
- E. Morales-Cuadrado, “Computationally Efficient and Safe Control for Aerial Robotic Systems under Threat and Disturbance.” Ph.D. Thesis Proposal, Georgia Institute of Technology, 2026. pdf available. slides available.
- E. Morales-Cuadrado, L. Chung, S. Kousik, and S. Coogan, “RTD-RAX: Fast, Safe Trajectory Planning for Systems under Unknown Disturbances.” Joint Submission to 2026 Modeling, Estimation and Control Conference (MECC) and ASME Letters in Dynamic Systems and Control (ALDSC). (accepted to both) preprint available.
- E. Morales-Cuadrado, L. Baird, Y. Wardi, and S. Coogan, “Lightweight Tracking Control for Computationally Constrained Aerial Systems with the Newton-Raphson Method.” IEEE Transactions on Control Systems Technology (TCST), 2026. preprint available.
- L. Baird, E. Morales-Cuadrado, and S. Coogan, “Runtime Assurance for Uncertain Systems from Interval Signal Temporal Logic.” Submitted to IFAC Nonlinear Analysis: Hybrid Systems (NAHS), 2025. (under revision) preprint available.
- E. Morales-Cuadrado, C. Llanes, Y. Wardi, and S. Coogan, “Newton-Raphson Flow for Aggressive Quadrotor Tracking Control.” 2024 American Control Conference (ACC). preprint available.
- E. Morales-Cuadrado, “Learning-Based Minimum Time-Energy Path Planning Through Integral Reinforcement Learning for a Multivehicle Nonlinear System Subject to Unknown Disturbances and Collision Avoidance.” Undergraduate Honors College Thesis at UT Arlington, 2022.
* indicates equal contribution