Alternatives and similar repositories for helperOC

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

• vvrs / MPPIController
  Robot Controls Course Project
  ☆61Updated 3 years ago
• StanfordASL / RobustMP
  Robust Online Motion Planning using Contraction Theory
  ☆58Updated 6 years ago
• SFU-MARS / optimized_dp
  Optimizing Dynamic Programming-Based Algorithms
  ☆118Updated last week
• MIT-REALM / neural_clbf
  Toolkit for learning controllers based on robust control Lyapunov barrier functions
  ☆167Updated last year
• StanfordASL / hj_reachability
  Hamilton-Jacobi reachability analysis in JAX.
  ☆138Updated 8 months ago
• ZhaomingXie / CDDP
  constraint differential dynamical programming
  ☆28Updated 2 years ago
• urosolia / LMPC
  This repo collets few LMPC examples coded in Python
  ☆83Updated last year
• skousik / RTD_tutorial
  Get started with Reachability-based Trajectory Design for static obstacles
  ☆62Updated 3 years ago
• 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
• StanfordASL / UP
  Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling
  ☆13Updated 4 years ago
• HJReachability / beacls
  ☆40Updated 2 months ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆28Updated 2 years ago
• StanfordASL / neural-network-lyapunov
  Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.
  ☆162Updated last month
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆30Updated 2 years ago
• helgeanl / GP-MPC
  MPC with Gaussian Process
  ☆220Updated 6 years ago
• hocherie / cbf_quadrotor
  Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.
  ☆64Updated 2 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆134Updated 4 years ago
• AstroHiro / ncm
  Codes for designing Neural Contraction Metrics (NCMs)
  ☆33Updated 4 years ago
• StanfordASL / GuSTO.jl
  Guaranteed Sequential Trajectory Optimization (GuSTO), using sequential convex programming for trajectory optimization with strong theore…
  ☆61Updated 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
• TUM-AAS / ml-casadi
  Use PyTorch Models with CasADi and Acados
  ☆226Updated 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
• Weixy21 / BarrierNet
  Safe robot learning
  ☆91Updated 7 months ago
• chenyutao36 / MATMPC
  ☆72Updated last year
• smlbansal / deepreach
  ☆72Updated 2 months ago
• vincekurtz / stlpy
  A python library for control from Signal Temporal Logic (STL) specifications
  ☆46Updated last month
• Berk-Tosun / cbf-cartpole
  Various Control Barrier Functions realized on cartpole.
  ☆25Updated last year
• 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
• tayalmanan28 / Safety-Critical-Controls
  Papers on Safety Critical Controls using Control Barrier Functions
  ☆40Updated 8 months ago
• jbreeden-um / phd-code
  ☆47Updated last year