Lander Vanroye
Curriculum Vitae

Contact Information

Currently at Intermodalics.

Education

2019-2023

PhD in Mechanical Engineering - Robotics, KU Leuven

2017-2019

MSc of Science: Mathematical Engineering, KU Leuven

exchange semester: Chalmers University, Sweden

2014-2017

BSc of Science: Mechanical and Electronics Engineering, KU Leuven

Research Experience

2019-2023

PhD in Mechanical Engineering - Robotics, KU Leuven

summer 2017

Research assistant, KU Leuven

Software Projects

fatrop

Fast Trajectory Optimizer (github)

Teaching Experience

2023-2024

TA of Numerical Optimization course, KU Leuven

2019-2023

TA of Applied Mechanics III course, KU Leuven

2019-2023

TA of Motion and Vibration course, KU Leuven

2018-2019

Student TA - Programming Methodology, KU Leuven

Publications

[1]
Vanroye, L., Sathya, A., De Schutter, J., Decré, W., FATROP : A Fast Constrained Optimal Control Problem Solver for Robot Trajectory Optimization and Control. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2023
[2]
Vanroye, L., De Schutter, J., Decré, W. A generalization of the Riccati Recursion for Equality Constrained Linear Quadratic optimal control, Wiley Optimal Control Applications and methods
[3]
Vanroye, L., Vochten, M., Aertbeliën, E., Decré, W., De Schutter, J. Efficient Optimization-based Calculation of Coordinate-Invariant Trajectory Shape Descriptors for on-line applications. Presented at IROS 2020 workshop on Bringing geometric methods to robot learning, optimization and control, online conference
[4]
Vanroye, L., Vochten, De Schutter, J., Decré, W. Efficient Optimization-based Trajectory Generation for Online Applications. Presented at the Presented at IROS 2020 workshop on Bringing geometric methods to robot learning, optimization and control, online conference
[5]
Vochten, M., Vanroye, L., Lambeau, J., Meylemans, K., Decré, W., De Schutter, J. Specification and Control of Human-Robot Handovers using Constraint-Based Programming. Submitted to 14th International Workshop on Human-Friendly Robotics 2021
[6]
Løvbak, E., Blondeel, F., Lee, A., Vanroye, L., Van Barel, A., Samaey, G., Reversible random number generation for adjoint Monte Carlo simulation of the heat equation, Monte Carlo and Quasi-Monte Carlo Methods 2022. Springer Verlag.

Nominations and Awards

References