wanxinjin / Learning-from-Sparse-Demonstrations
A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations or waypoints.
☆20Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Learning-from-Sparse-Demonstrations
- Inverse optimal control from incomplete trajectory observations, proposing the concept of the recovery matrix which provides further insi…☆12Updated 3 years ago
- A new method for a robot to learn a control objective from human user's directional corrections.☆15Updated 3 years ago
- ☆49Updated 3 years ago
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Updated 2 years ago
- Learning and generalization on a navigation task of a wheeled robot☆10Updated 3 years ago
- ☆12Updated last year
- Model-based shared control of human-machine systems☆14Updated 6 years ago
- The official repo for NeurIPS 2021 paper 'Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks'☆100Updated last year
- ☆24Updated 2 years ago
- Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.☆56Updated last year
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆25Updated 2 years ago
- Robust Online Motion Planning using Contraction Theory☆53Updated 5 years ago
- MihirSPatil / Deep-Reinforcement-Learning-for-Continuous-Control-Docking-of-Autonomous-Underwater-VehiclesCode for the thesis☆16Updated 3 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆31Updated last year
- Lyapunov-stable Neural Control for State and Output Feedback☆57Updated 4 months ago
- ☆38Updated 8 months ago
- 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…☆31Updated 3 years ago
- ☆25Updated 3 years ago
- This is an unofficial python implement of nonlinear model predictive control with control Lyapunov functions and control barrier function…☆30Updated 3 years ago
- Robot Controls Course Project☆56Updated 3 years ago
- collection of rotorcrafts OpenAI gym Mujoco environments☆43Updated last year
- ☆30Updated 3 years ago
- Get started with Reachability-based Trajectory Design for static obstacles☆62Updated 2 years ago
- Implementation of reduced-order optimal control schemes for finite element models of Soft Robots☆26Updated last month
- ☆54Updated last month
- Repo for paper DATT: Deep Adaptive Trajectory Tracking for Quadrotor Drones☆42Updated 6 months ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆44Updated last month
- Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifical…☆39Updated 2 years ago
- PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…☆26Updated 5 months ago
- Adaptive control-oriented meta-learning for nonlinear systems☆55Updated 3 years ago