Model Predictive Control with discrete-time Control Barrier Functions (MPC-CBF) for a wheeled mobile robot.
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Updated
Dec 24, 2022 - Python
Model Predictive Control with discrete-time Control Barrier Functions (MPC-CBF) for a wheeled mobile robot.
Safety Critical Control of Autonomous Vehicles by Control Barrier Functions
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.
This repository houses MATLAB code written to study CBF-based safety filters in the context of obstacle avoidance for 2D linear systems.
Control barrier functions implemented through python via pybullet.
The 1D_MPC_CBF repository houses a collection of MATLAB scripts written to study differnt state-constrained controllers.
Safety-critical control for autonomous systems
Safety-critical control for autonomous systems
Safety-critical control for systems with unknown dynamics
Time-minimal smooth stop for collaborative robotics with python bindings
This projects provides the non-profit organization with an online platform, it aims to advocate for good governance in transport safety and development, catalyze financing for safety improvement programs, and support grassroots awareness activities within communities.
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