This repository is the code for the paper "Glocal trajectory generation and tracking control for autonomous underwater vehicles with optimal coverage sensor networks"
-
Updated
Oct 19, 2025 - Jupyter Notebook
This repository is the code for the paper "Glocal trajectory generation and tracking control for autonomous underwater vehicles with optimal coverage sensor networks"
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).
SAFIRL: Shielded RL with CBF/MPC on Franka-MuJoCo - reproducible training/evaluation, STL-based verification, benchmarks, Docker/CI.
Code for my bachelor thesis on "Control Barrier Functions for Learning-Based Regulation of Elastic Actuators with State Constraints".
TTCBF: A Truncated Taylor Control Barrier Function for High-Order Safety Constraints
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."