Biography
Alejandro Astudillo received his B.Sc. degree in Electronics Engineering and his M.Sc. degree in Automation Engineering from Universidad del Valle, Colombia, in 2015 and 2017, respectively. He joined the MECO Research Team at KU Leuven as a PhD researcher in 2018. His research interests focus on strategies for reducing the engineering effort and the computational burden of real time motion planning and model predictive control of robotic and complex mechatronic systems.
Interests
- Robotics
- Optimization
- Model Predictive Control
- Motion Planning
Education
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Ph.D. in Engineering Science - Mechanical Engineering, 2023
KU Leuven, Belgium
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M.Sc. in Engineering - Automation, 2018
Universidad del Valle, Colombia
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B.Sc. in Electronics Engineering, 2015
Universidad del Valle, Colombia
Recent Publications
(2024).
Towards the Analytical Computation of Time-Optimal Trajectories of Unicycle Robots Within Corridor Environments.
IEEE ECC 2024.
(2024).
Time-Optimal Model Predictive Control Using Feasibility Governors.
IEEE ECC 2024.
(2024).
An Almost Feasible Sequential Linear Programming Algorithm.
IEEE ECC 2024.
Awards, Grants & Distinctions
ASME DSCD Raising Star 2022 Award
- Year: 2022
- Granting Agency: American Society of Mechanical Engineers (ASME) - Dynamic Systems and Control Division
Best Student Paper Bronze Award
- Year: 2021
- Granting Agency: Modeling, Estimation and Control Conference (MECC) 2021
Summer School Scholarship for the Robotics for Future Industrial Applications Programme
- Year: 2017
- Granting Agency: RWTH Aachen University - International Academy
Travel Grant to Attend the Colombian Conference on Automatic Control (CCAC) 2017
- Year: 2017
- Granting Agency: Universidad del Valle
Early Career Research Grant for Young Researchers
- Year: 2016
- Granting Agency: Colombian Ministry of Science & Universidad del Valle