Robotics manipulator simulation: geometric modeling, kinematics, motion planning, and control

The simulation of various types of robot control systems is conducted by using Simulink, focusing on robot configuration design, kinematics and dynamics modeling, and controller design.

Self balancing Inverted Pendulum Multibody

CAN (Controller Area Network) bus system to simulate transmitter and receiver signals between the powertrain and ECU (Electric Control Unit) of the vehicles with MATLAB/Simulink Vehicle Network Toolbox

CArbon Sequestration Harnessing Energy from Waves

Three domain simulation of a swimming pool created in Simscape as part of the FHNW module glaL4

Contains material for a lean Simscape course in which you can learn to control a four-bar linkage with a DC motor.

Supplementary material for the paper:

Physical Body Simulations Internship using Simscape Multibody under college robotics team in June-July 2020

Path Planner Robot for effective route discovery

Training on how to design and simulate a BLDC controller

The Simulink model provides the system's dynamic equation-based model and Simscape provides the physical modelling. It compares both the uncompensated and compensated response (i.e. Lag and Lead controller) of DC motor speed control.

Power Electronics projects done using Simscape Tool Box in MATLAB-Simulink based simulation.

Robot manipulators are articulated mechanical systems composed of links connected by joints. The dynamic equations of a robot manipulator can be obtained from Newton's equations of motion or, via Lagrange's equations. Here we considered a robot manipulator of 2 degrees of freedom (2-DOF) using the Lagrangian approach.

Mechatronic design, dynamic modeling and control of six legged robot

Design an excavator. Define pin locations, calculate BOF and TOF, produce load charts, and simulate dig cycles.

Training on Physical Modeling with MATLAB

5 Bar Parallel Robot via MATLAB/Simscape