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Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equations.
Suite of 1D, 2D, 3D demo apps of varying complexity with built-in support for sample mesh and exact Jacobians
Fundamentals of Robotics: Practical Case Studies with Matlab & Python" is a comprehensive guide authored by Hamid D. Taghirad, designed for students, researchers, and practitioners in the field of robotics. The book combines theoretical foundations with practical applications, providing illustrative examples and case studies.
Implémentation en python de l'algorithme de Jacobi en Python
Stewart Platform Class repository
Here is the content of ML committe in season 2025
Stewart Platform Singularities Generation repository
ODE solvers for celestial mechanics
Code for controlling the Lynxmotion 4DoF Robot Arm.
Dual number classes for automatic differentiation including for higher order derivatives
Position and Velocity Estimation of a bicycle using the Extended Kalman Filter with noisy lidar and radar data measurements.
Solving a dynamic system by solving its differential and algebraic equations ... 2 approaches are used to solve algebraic equation first and differential next is Partitioned approach, Simultaneous solving is also done. The jacobian matrix of the equation tells much about the state of the system.
This is a a repository dedicated for the Final Project in the course MEXE 409 - Robotics 2.
Python program capable of Modeling any robotic arm virtually, Displaying modeled arm graphically, Simulating manipulation operations (FK) and Trajectory plotting, Computing solutions to reach the target (IK)
Bachelor's degree code for the roboticarm
These are some programs i had to hand in for my "Higher Mathematics 2" Class in University
First assignment of Robot Dynamics and Control, regarding the study of the momentums of different configurations of a manipulator with two joints.
Lab focuses on different computational problems involving rotation matrices, coordinate transformations, and robotic manipulations.
Implementation ML algorithem in Numpy with derivation
Extended Kalman Filters (project 5 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
in this repository, we learn how to find equilibrium points of a system of non-linear ODE and calculate the solution using Runge-Kutta Fourth Order (RK4). The equations used here can be found in the article link attached.