wanxinjin / Learning-from-Directional-Corrections
A new method for a robot to learn a control objective from human user's directional corrections.
☆16Updated 3 years ago
Alternatives and similar repositories for Learning-from-Directional-Corrections:
Users that are interested in Learning-from-Directional-Corrections are comparing it to the libraries listed below
- A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations…☆20Updated 2 years ago
- Non-Gaussian Risk Bounded Trajectory Optimization for StochasticNonlinear Systems in Uncertain Environments☆33Updated 2 years ago
- Code accompanying the paper: "Stable Motion Primitives via Imitation and Contrastive Learning" (T-RO).☆23Updated last year
- Repo for paper DATT: Deep Adaptive Trajectory Tracking for Quadrotor Drones☆46Updated 7 months ago
- ☆25Updated 3 years ago
- ☆52Updated 3 years ago
- ☆10Updated 2 years ago
- Autonomous drone racing course @ LSY☆22Updated this week
- ☆52Updated last month
- [IROS 22'] Model-free Neural Lyapunov Control☆21Updated last year
- ☆47Updated 3 years ago
- Path planning from STL (Signal Temporal Logic) specifications☆51Updated 2 years ago
- We developed a task-driven hybrid model reduction method for solving dexterous manipulation with 5 minutes of online learning.☆18Updated 9 months ago
- A simple demo of imitation learning based on diffusion policy for quadrotor control☆12Updated 3 months ago
- Adaptive Risk Tendency Implicit Quantile Network for Drone Navigation under Partial Observability.☆27Updated 2 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
- Safe guaranteed exploration for non-linear systems☆14Updated 11 months ago
- This is an unofficial python implement of nonlinear model predictive control with control Lyapunov functions and control barrier function…☆32Updated 3 years ago
- Code accompanying "Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory"☆22Updated 10 months ago
- Automatic Tuning for Data-driven Model Predictive Control☆36Updated last year
- Differentiable Gaussian Process Motion Planning☆46Updated 3 years ago
- ☆70Updated last year
- Learning and generalization on a navigation task of a wheeled robot☆11Updated 3 years ago
- ☆27Updated 2 years ago
- ☆12Updated 5 years ago
- Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors☆15Updated 3 years ago
- [NeurIPS 2021 DDM Workshop] A hybrid control strategy for combining deep RL and classical robotic controllers☆29Updated 2 years ago
- ☆16Updated last year
- Robot Reinforcement Learning on the Constraint Manifold☆49Updated 3 years ago