Alternatives and similar repositories for C3M

Users that are interested in C3M are comparing it to the libraries listed below

• 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…
  ☆72Updated 2 years ago
• StanfordASL / stlcg
  ☆72Updated last year
• smlbansal / deepreach
  ☆75Updated 5 months ago
• HJReachability / safety_rl
  ☆28Updated 3 years ago
• sliu2019 / input_limit_cbf
  ☆17Updated 2 years ago
• HJReachability / helperOC
  ☆87Updated 2 years ago
• MIT-REALM / neural_clbf
  Toolkit for learning controllers based on robust control Lyapunov barrier functions
  ☆173Updated last year
• wanxinjin / Safe-PDP
  Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…
  ☆71Updated 3 years ago
• MIT-REALM / macbf
  Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
  ☆76Updated 2 years ago
• roahmlab / reachability-based_trajectory_safeguard
  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…
  ☆33Updated 4 years ago
• vvrs / MPPIController
  Robot Controls Course Project
  ☆62Updated 3 years ago
• SFU-MARS / optimized_dp
  Optimizing Dynamic Programming-Based Algorithms
  ☆122Updated 3 weeks ago
• yemam3 / Mod-RL-RCBF
  ☆41Updated 2 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆137Updated 4 years ago
• vincekurtz / stlpy
  A python library for control from Signal Temporal Logic (STL) specifications
  ☆47Updated 3 months ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆29Updated 2 years ago
• sundw2014 / STLPlanning
  Path planning from STL (Signal Temporal Logic) specifications
  ☆55Updated 2 years ago
• StanfordASL / hj_reachability
  Hamilton-Jacobi reachability analysis in JAX.
  ☆149Updated 10 months ago
• Weixy21 / BarrierNet
  Safe robot learning
  ☆95Updated 10 months ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆68Updated 2 years ago
• Berk-Tosun / cbf-cartpole
  Various Control Barrier Functions realized on cartpole.
  ☆24Updated last year
• neu-autonomy / nfl_veripy
  Formal Verification of Neural Feedback Loops (NFLs)
  ☆81Updated last year
• UCSD-SASLab / refineCBF
  ☆23Updated last year
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆88Updated 5 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆56Updated 3 years ago
• Verified-Intelligence / Lyapunov_Stable_NN_Controllers
  Lyapunov-stable Neural Control for State and Output Feedback
  ☆74Updated last year
• MIT-REALM / gcbf-pytorch
  PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…
  ☆35Updated last year
• tayalmanan28 / Safety-Critical-Controls
  Papers on Safety Critical Controls using Control Barrier Functions
  ☆43Updated 11 months ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 5 years ago
• ossamaAhmed / blackbox_mpc
  Sampling based Model Predictive Control package for Model-Based RL research
  ☆55Updated 4 years ago