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This project implements visual odometry to estimate the trajectory of a self-driving car.
Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach
Continuous-time system identification with neural networks
J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," in IEEE Transactions on Automatic Control, vol. 66, no. 4, pp…
Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CAC), Beijing, China, 2021, pp. 394-399, doi: 10.1109/CAC53003…
Python sample codes for robotics algorithms.
Learn Robotics Programming, Second Edition published by Packt
Reinforcement Learning with Model Predictive Control
Autonomous Mobile Robot developed and programmed in the online course named "Self-Driving and ROS 2 - Learn By Doing! Odometry & Control"
In the project I am going to programm a car to drive itself around the test track using components of the perception, planning and control subsystems which will be implemented in the Robot Operatio…
RTAB-MAP 101 notes from Robot Ignite Academy Course (https://www.robotigniteacademy.com/en/course/rtab-map-in-ros-101/details/)
My study corner for MIT 6.4212 - Robotic Manipulation
Policy Search for Model Predictive Control with Application to Agile Drone Flight
A Robust and Efficient Trajectory Planner for Quadrotors
This repositiory contains code that accompanies each chapter of the book Practical robotics in C++.
GitHub repository for comprehensive drone programming using SITL, ROS, mavros, and Gazebo simulation
Generic Keyboard Teleop for ROS
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Roadmap to become a Visual-SLAM developer in 2023
The English version of 14 lectures on visual SLAM.
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities