Robotics: Kinematics & Dynamics Simulation in MATLAB (Part3)

Last updated 11/2025
Duration: 7h 52m | .MP4 1280×720 30fps(r) | AAC, 44100Hz, 2ch | 3.97 GB

MATLAB-based Forward & Inverse Kinematics, Euler-Lagrange torque computation, trajectory simulation for Manipulators
What you’ll learn
– Learn about inverse kinematics , Elbow up/ down configurations their workspace validity,
– Simulate different manipulator configurations to compute Torques for joints using Euler-Lagrange Method
– Simulate different trajectory profiles used in manipulators or Robotic arms

Requirements
– You will learn everything you need to know

Description
Moving beyond kinematics, the course delves into robot dynamics using the Euler-Lagrange formulation. You will derive and implement the Inertia (M), Coriolis/Centrifugal (C), and Gravity (G) matrices, and learn how these affect manipulator motion and control. With complete MATLAB coding demonstrations, you’ll generate end-effector trajectories, visualize workspace coverage, and animate manipulator motion step-by-step.

By the end of this course, you will be able to:

Develop kinematic and dynamic models of robotic manipulators

Simulate 3D motions and 2D projections (XY, XZ, or YZ views) using MATLAB visualization tools

Derive and implement forward and inverse kinematics (including elbow-up and elbow-down such as for 2R and 3R planar manipulator arms)

Construct Euler-Lagrange dynamic equations for manipulators like RRR and RRP

Analyze Coriolis, centrifugal, and gravitational effects on motion

Generate and interpret end-effector trajectories and workspace plots

This course is ideal for:

Students and researchers in Mechanical, Mechatronics, Robotics, or Electrical Engineering

Professionals and enthusiasts looking to strengthen skills in robot modeling, kinematics, and dynamics

Automation and control engineers, software developers, and hobbyists working with MATLAB or robotic manipulators

Who this course is for: