Safe reinforcement learning with stochastic control barrier functions (TI3165TU Capstone project 2023-2024)
-
Updated
Mar 22, 2024 - Jupyter Notebook
Safe reinforcement learning with stochastic control barrier functions (TI3165TU Capstone project 2023-2024)
Simple scripts that are used for solving motion planning problem via MPC and control barrier function
Safety-critical control for systems with unknown dynamics
Optimal Control Theory and Stochastic Control Barrier Functions applied to Economics and Finance
Repository containing a Python implementation of a sensor-based scheme for safe TIAGo navigation in a crowd
This repository houses MATLAB code written to study CBF-based safety filters in the context of obstacle avoidance for 2D linear systems.
The 1D_MPC_CBF repository houses a collection of MATLAB scripts written to study differnt state-constrained controllers.
UAP-BEV: Uncertainty Aware Planning in Bird's Eye View Generated from Monocular Images (CASE 2023)
Code for "Learning Local Control Barrier Functions for Safety Control of Hybrid Systems" by S. Yang, Y. Chen, X. Yin, R. Mangharam
Control barrier functions implemented through python via pybullet.
This collection of MATLAB scripts intends to study the performance of state-constrained controllers utilizing control barrier functions in the context of adaptive cruise control.
Safety Critical Control of Autonomous Vehicles by Control Barrier Functions
On the forward invariance of Neural ODEs: performance guarantees for policy learning
Various Control Barrier Functions realized on cartpole.
Matlab class/functions to simulate a system implementing a control Lyapunov-control barrier function quadratic program controller.
"Safety-Critical Control using Optimal-decay Control Barrier Functions with Guaranteed Point-wise Feasibility" by J. Zeng, B. Zhang, Z. Li and K. Sreenath https://arxiv.org/pdf/2103.12375.pdf
Colab notebooks showcasing experiments on MPPI (model predictive path integral control) and CBF (control barrier function). Utilizes jax to accelerate computation.
Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function
Safe robot learning
Add a description, image, and links to the control-barrier-functions topic page so that developers can more easily learn about it.
To associate your repository with the control-barrier-functions topic, visit your repo's landing page and select "manage topics."