Topic: "learning-control"
Tim-Salzmann/l4casadi
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Language: Python - Size: 24.4 MB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 448 - Forks: 35
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, control policy, or/and optimal trajectory in a control system.
Language: Python - Size: 352 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 123 - Forks: 16
mrana6/euclideanizing_flows
Stable dynamical system learning using Euclideanizing flows
Language: Python - Size: 9.95 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1
TUM-ITR/PGopt
Particle Gibbs-based optimal control with performance guarantees for unknown systems with latent states
Language: Julia - Size: 831 KB - Last synced at: 27 days ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0
wheelbot/Mini-Wheelbot
The Mini Wheelbot is a balancing, reaction wheel unicycle robot designed as a testbed for learning-based control. It is an unstable system with highly nonlinear yaw dynamics, non-holonomic driving, and discrete contact switches in a small, powerful, and rugged form factor.
Language: C - Size: 22 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 3 - Forks: 1
roscibely/lyapunov-based-nn-constriants-input
Lyapunov-based neural network control with input saturation constraints
Language: Python - Size: 23.4 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 2
IISc-HiRo/IISc-HiRo.github.io
Welcome to the website of Human-Interactive Robotics Lab @ IISc Bengaluru
Language: HTML - Size: 41.3 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
