IgnacioCarlucho / Double_QPID
Double_QPID as in the article Double Q-PID algorithm for mobile robot control
☆28Updated 4 years ago
Alternatives and similar repositories for Double_QPID:
Users that are interested in Double_QPID are comparing it to the libraries listed below
- Code to reproduce results in peer-reviewed publications☆18Updated 2 weeks ago
- This repo is related to Deep Policy search using MPC.☆11Updated 2 years ago
- ☆15Updated last year
- This project attempts to use Reinforcement Learning to train a model to perform simple maneuvers, plan navigation and avoid dynamic obsta…☆10Updated 2 years ago
- ☆42Updated 11 months ago
- The underwater robot obstacle avoidance project with the method of deep reinforcement learning☆43Updated 2 years ago
- Model based RL for fault-rotor quadrotor☆17Updated 5 years ago
- Using Differential Dynamic Programming (DDP) to control various dynamical systems.☆21Updated 4 years ago
- Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.☆59Updated 2 years ago
- PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL☆18Updated last week
- Safety-aware MPC-based RL framework☆51Updated 3 months ago
- Control barrier function based motion planning☆16Updated 4 years ago
- Implementation of Soft Q-learning for Training Space Robots to Capture Targets☆15Updated 2 years ago
- MihirSPatil / Deep-Reinforcement-Learning-for-Continuous-Control-Docking-of-Autonomous-Underwater-VehiclesCode for the thesis☆20Updated 3 years ago
- Public examples for FORCES NLP☆12Updated 7 years ago
- ☆28Updated 2 years ago
- This repository contains the open source code used to generate the simulation results shown in the manuscript "Jaeyoung Lee and Richard S…☆11Updated 3 years ago
- ☆9Updated 7 years ago
- repo for the MPC-RL summer school project☆9Updated 2 years ago
- This is a python repo that implements control barrier function quadratic programming method.☆12Updated 3 years ago
- Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopte…☆19Updated 2 years ago
- EXPSIN / Quadratic-Programming-for-Continuous-Control-of-Safety-Critical-Multi-Agent-Systems-Under-UncertaintQuadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty☆11Updated 5 months ago
- Matlab Code base for T-RO 20 paper on robust Control Barrier Functions (CBFs) with Gaussian Process Regression for estimating the disturb…☆13Updated 3 years ago
- Matlab class/functions to simulate a system implementing a control Lyapunov-control barrier function quadratic program controller.☆38Updated last year
- Develop a Koopman operator based MPC for controlling a quadrotor☆48Updated 4 months ago
- Implementation of MPC-PEARL☆13Updated 7 months ago
- Code for learning Trajectory Optimization with GPOPS-II☆19Updated 4 years ago
- This is a demo model for Reinforcement Learning Control Design. After designing agent, it is deployed to Raspberry Pi and run real-time h…☆22Updated 2 years ago
- "Safety-Critical Control using Optimal-decay Control Barrier Functions with Guaranteed Point-wise Feasibility" by J. Zeng, B. Zhang, Z. L…☆28Updated 3 years ago
- Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review☆40Updated 3 years ago