unstable-zeros / learning-cbfsLinks
Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Lindemann, H. Zhang, D. V. Dimarogonas, S. Tu, and N. Matni, https://arxiv.org/abs/2004.03315
☆73Updated 2 years ago
Alternatives and similar repositories for learning-cbfs
Users that are interested in learning-cbfs are comparing it to the libraries listed below
Sorting:
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆32Updated 2 years ago
- ☆30Updated 4 years ago
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆29Updated 3 years ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆174Updated last year
- Automatic Tuning for Data-driven Model Predictive Control☆70Updated 2 years ago
- Various Control Barrier Functions realized on cartpole.☆25Updated last year
- ☆89Updated 2 years ago
- ☆17Updated 3 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆76Updated 2 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆138Updated 4 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆55Updated 5 years ago
- ☆41Updated 3 years ago
- Code needed to replicate the examples from "Learning Hybrid Control Barrier Functions from Data" by L. Lindemann et al., to appear at CoR…☆25Updated 2 years ago
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Updated 3 years ago
- Robot Controls Course Project☆62Updated 4 years ago
- Safe robot learning☆97Updated 11 months ago
- Adaptive control-oriented meta-learning for nonlinear systems☆69Updated 4 years ago
- ☆75Updated last year
- Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.☆65Updated 2 years ago
- PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…☆35Updated last year
- Papers on Safety Critical Controls using Control Barrier Functions☆45Updated last year
- Lyapunov-stable Neural Control for State and Output Feedback☆78Updated last year
- ☆23Updated last year
- ☆78Updated 6 months ago
- Path planning from STL (Signal Temporal Logic) specifications☆56Updated 2 years ago
- Model-based Control using Koopman Operators☆55Updated 5 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 5 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆169Updated 5 months ago
- We use reachability to ensure the safety of a decision agent acting on a dynamic system in real-time. We compute the Forward Reachable Se…☆34Updated 4 years ago
- A python library for control from Signal Temporal Logic (STL) specifications☆50Updated 5 months ago