Python Portfolio

This gallery is the Python-facing showcase for the pycddp bindings. Each demo is solved directly from Python, then rendered as an animation with Matplotlib.

Interactive Demo Gallery

Solver results presented as a web-first portfolio

These examples are the quickest way to understand what the Python bindings actually produce: constrained solves, animated trajectories, and compact reproducible workflows.

Python package guide Browse examples

Regenerate the gallery

source .venv/bin/activate
python examples/python_portfolio.py --demo all --output-dir docs/assets/python_portfolio

Demos

Pendulum Swing-Up

Torque-limited CLDDP solve for a damped pendulum.

Cart-Pole Swing-Up

Bounded-force CLDDP solve that swings the pole upright and settles near the origin.

Unicycle Obstacle Avoidance

IPDDP solve with a circular obstacle constraint, showing how the Python bindings can drive constrained trajectory visualization directly from Python.

MPCC Racing Line

Full-lap contouring control on a compact circuit, solved from Python with a custom nonlinear objective and a lightweight bicycle model.

This is a compact kinematic MPCC-style showcase rather than a full reproduction of the controller in Liniger et al. The bundled track data is derived from the alexliniger/MPCC reference implementation.