shuoyang2000/neural_hybrid_cbf
Code for "Learning Local Control Barrier Functions for Safety Control of Hybrid Systems"
This project helps robotics engineers and control systems designers ensure safety in autonomous systems. It takes in control parameters and system dynamics, then outputs optimized control strategies that prevent dangerous situations. The primary users are researchers and practitioners working on autonomous vehicles or similar safety-critical robotic applications.
No commits in the last 6 months.
Use this if you need to develop and evaluate advanced safety controllers for autonomous systems, particularly those with complex hybrid dynamics, and want to incorporate learned control barrier functions.
Not ideal if you are looking for a plug-and-play solution for simple control tasks or if your system does not involve safety-critical operations.
Stars
14
Forks
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Language
Python
License
MIT
Category
Last pushed
Jan 29, 2024
Commits (30d)
0
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