Thomas-JHR
A badminton enthusiast studying Electrical and Computer Engineering
Arashi Vision Inc., Shenzhen, China Queen's University, Kingston, Ontario, Canada
Thomas-JHR's Stars
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
jslee02/awesome-robotics-libraries
:sunglasses: A curated list of robotics libraries and software
petercorke/robotics-toolbox-python
Robotics Toolbox for Python
NxRLab/ModernRobotics
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.
Aceinna/gnss-ins-sim
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
shenshikexmu/IMUCalibration-Gesture
calibration for Imu and show gesture
randybeard/mavsim_public
Repository for the textbook: Small Unmanned Aircraft: Theory and Practice, by Randy Beard and Tim McLain
MMehrez/MPC-and-MHE-implementation-in-MATLAB-using-Casadi
This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/
nex3z/machine-learning-exercise
Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.
botprof/agv-examples
A repository of introductory autonomous ground vehicle (i.e., wheeled mobile robot) simulation examples in Python.
kbmajeed/adaptive_adrc
The altitude control of a quadrotor unmanned aerial vehicle is treated using its altitude dynamics in hover mode. An LMS-based Adaptive Active disturbance rejection control (AADRC) is proposed to compensate for disturbance effects resulting in smoother control.
colinlaganier/AutonomousDrone
MEng Dissertation supervised by Prof. Robert Shorten
diwakar-vsingh/3-Axis-Camera-Gimbal-Stabilizer
A feedback control system for 3-axis camera gimbal stabilizer
YunxiTang/Gaussian-Processes-for-Robot
Explore the ability of GPs to model the dynamics of robot
Oguzhn8/Newton-Algorithm-for-nonlinear-least-squares-curve-fitting-problems