Control Barrier Function toolbox
Toolbox for implementing safety filters using Control Barrier Functions (CBFs) in python
. Implemented functionality for CBFs and implicit CBFs that rely on a backup controller.
Implementation of the solver is provided for control-affine systems (with bounded input constraints) using cvxpy
.
Defines Experiment class to efficiently run experiments with different (or none) CBFs
The toolbox is compatible with batched inputs (torch
or tf
) and individual inputs (numpy
or jax
)
Installation:
- Run
pip install -e .
to install this project
Example available in examples/acc.ipynb