Projects
Trajectory optimization & control work.
Path planning, NMPC, Urban Air Mobility, and open-source trajectory optimization initiatives using Python, CasADi with IPOPT, NumPy, and Matplotlib.
Wolf-Inspired Drone Path Planning
3D drone path planning using the Grey Wolf Optimization (GWO) algorithm to find obstacle-avoiding flight paths inspired by wolf pack behavior.
Car Parallel Parking
Direct multiple shooting optimal control approach that uses the IPOPT solver to compute efficient autonomous parallel parking maneuvers.
Rocket Landing — Nonlinear Model Predictive Control
Nonlinear Model Predictive Control framework handling 2D rocket dynamics to achieve precise vertical landing.
eVTOL Landing — Bachelor Thesis
Simulation framework for efficient eVTOL landing that optimizes trajectories with static and dynamic collision avoidance using direct multiple shooting.
MAPTOR (Multiphase Adaptive Trajectory Optimizer)
Python library for trajectory optimization built on CasADi with pseudospectral methods, multiphase problem support, adaptive mesh refinement, and SymPy-powered mechanics and design parameter optimization.