milutter / deep_lagrangian_networksLinks
Open-source implementation of Deep Lagrangian Networks (DeLaN)
☆110Updated 7 months ago
Alternatives and similar repositories for deep_lagrangian_networks
Users that are interested in deep_lagrangian_networks are comparing it to the libraries listed below
Sorting:
- We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.☆42Updated last year
- Soure code for Deep Koopman with Control☆85Updated 3 years ago
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- Accompanying code for the publication "MPC-Net: A First Principles Guided Policy Search"☆89Updated 5 years ago
- ☆24Updated 4 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆161Updated 3 weeks ago
- This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.☆25Updated 3 years ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆48Updated 3 years ago
- ☆14Updated 2 years ago
- Sampling-based model predictive control on GPU with JAX/MJX☆162Updated last week
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆134Updated 4 years ago
- Cross Entropy Method implemented in pytorch☆38Updated 3 years ago
- Code for "Dynamics Harmonics Analysis of Robotic Systems: Application in Data-Driven Koopman Modeling", enabling the modeling of symmetri…☆12Updated 3 months ago
- State-of-the-art method for model-based dexterous manipulation☆100Updated 10 months ago
- Neural network-based constrained kinodynamic motion planner☆28Updated last year
- Robot Reinforcement Learning on the Constraint Manifold☆52Updated 3 years ago
- Implementation of reduced-order optimal control schemes for finite element models of Soft Robots☆31Updated 8 months ago
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆15Updated 5 years ago
- Code for the cases presented in the paper "Elastica: A compliant mechanics environment for soft robotic control"☆27Updated 2 years ago
- 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
- Trajectory optimization algorithms for robotic control.☆110Updated 2 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆64Updated 2 years ago
- Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models☆31Updated 8 months ago
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆70Updated 5 years ago
- ☆56Updated 3 years ago
- ☆149Updated 3 years ago
- Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusi…☆257Updated 2 months ago
- Real-Time Multi-Contact Model Predictive Control via ADMM☆44Updated last year
- ☆56Updated 6 months ago
- Lyapunov-stable Neural Control for State and Output Feedback☆69Updated 11 months ago