Alternatives and similar repositories for BarrierNet

Users that are interested in BarrierNet are comparing it to the libraries listed below

• MIT-REALM / neural_clbf
  Toolkit for learning controllers based on robust control Lyapunov barrier functions
  ☆167Updated last year
• unstable-zeros / learning-cbfs
  Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…
  ☆70Updated last year
• wanxinjin / Safe-PDP
  Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…
  ☆70Updated 2 years ago
• MIT-REALM / gcbfplus
  Jax Official Implementation of T-RO Paper: Songyuan Zhang*, Oswin So*, Kunal Garg, Chuchu Fan: "GCBF+: A Neural Graph Control Barrier Fun…
  ☆84Updated last month
• shaoanlu / mppi_cbf
  Colab notebooks showcasing experiments on MPPI (model predictive path integral control) and CBF (control barrier function). Utilizes jax …
  ☆79Updated 4 months ago
• sliu2019 / input_limit_cbf
  ☆18Updated 2 years ago
• StanfordASL / hj_reachability
  Hamilton-Jacobi reachability analysis in JAX.
  ☆138Updated 8 months ago
• SFU-MARS / optimized_dp
  Optimizing Dynamic Programming-Based Algorithms
  ☆118Updated last week
• tayalmanan28 / Safety-Critical-Controls
  Papers on Safety Critical Controls using Control Barrier Functions
  ☆40Updated 8 months ago
• smlbansal / deepreach
  ☆72Updated 2 months ago
• hocherie / cbf_quadrotor
  Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.
  ☆64Updated 2 years ago
• Berk-Tosun / cbf-cartpole
  Various Control Barrier Functions realized on cartpole.
  ☆25Updated last year
• HJReachability / helperOC
  ☆87Updated 2 years ago
• vincekurtz / stlpy
  A python library for control from Signal Temporal Logic (STL) specifications
  ☆46Updated last month
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆28Updated 2 years ago
• yemam3 / Mod-RL-RCBF
  ☆39Updated 2 years ago
• yiwenlu66 / learning-qp
  ☆57Updated 6 months ago
• vvrs / MPPIController
  Robot Controls Course Project
  ☆61Updated 3 years ago
• ZhaomingXie / CDDP
  constraint differential dynamical programming
  ☆28Updated 2 years ago
• MIT-REALM / gcbf-pytorch
  PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…
  ☆33Updated last year
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆67Updated 2 years ago
• shaoanlu / CBF_QP_safety_filter
  Control barrier function as safety filter with disturbance observer
  ☆31Updated 5 months ago
• mit-ll-trusted-autonomy / cbfToolbox
  A Python package to make implementing control barrier functions (CBFs) and control Lyapunov functions (CLFs) simple.
  ☆19Updated last year
• wanxinjin / Pontryagin-Differentiable-Programming
  A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…
  ☆175Updated last year
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆30Updated 2 years ago
• roahmlab / REFINE
  ☆14Updated 8 months ago
• Verified-Intelligence / Lyapunov_Stable_NN_Controllers
  Lyapunov-stable Neural Control for State and Output Feedback
  ☆69Updated last year
• TUM-AAS / neural-mpc
  Real-time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
  ☆213Updated 4 months ago
• manish-pra / sampling-gpmpc
  Sampling based GP MPC
  ☆30Updated this week
• UCSD-SASLab / refineCBF
  ☆21Updated last year