Learn a neural network control barrier function subject to safety constraints composited by logical operations.
-
Updated
Oct 17, 2025 - Python
Learn a neural network control barrier function subject to safety constraints composited by logical operations.
Model predictive control with Discrete Control Barrier Function constraints using CVXPY
Learner-Verifier Framework for formal synthesis of Control Barrier Functions (CBF).
Code for my bachelor thesis on "Control Barrier Functions for Learning-Based Regulation of Elastic Actuators with State Constraints".
This repository is the code for the paper "Glocal trajectory generation and tracking control for autonomous underwater vehicles with optimal coverage sensor networks"
SAFIRL: Shielded RL with CBF/MPC on Franka-MuJoCo — reproducible training/evaluation, STL-based verification, benchmarks, Docker/CI.
Add a description, image, and links to the control-barrier-function topic page so that developers can more easily learn about it.
To associate your repository with the control-barrier-function topic, visit your repo's landing page and select "manage topics."