Intermediate Course

Robot Dynamics and Control

Learn to develop dynamic models and intelligent control systems for simple robots.

Course Overview

Description

Robot Dynamics is really important since it will give you a complete understanding not only how robots move (kinematics) but also WHY they move (dynamics). In this course, you will learn to develop the dynamics models of basic robotic systems, as well as create intelligent controllers for them.

What You will learn

How to solve the dynamics for the motion of rigid bodies in 3D space with the use of Newton’s laws of motion
How to model the dynamics of a simple robotic system and how to derive its equations of motion
How to create a full state feedback controller to allow a robotic system to balance

Simulation robots used in this course:

RRBot (Robot Manipulator)

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Level

Intermediate

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Duration

15h

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Prerequisites

Python for Robotics, Linux for Robotics, ROS Basics in 5 Days

What projects will you be doing?

[ROS Q&A] 168 - What are the differences between global and local costmap

Rigid Body Dynamics

Learn the basic dynamics of rigid bodies using a box and a table.

Dynamic Modeling

Learn how to model the dynamics of a simple robotic system using an RRbot.

Feedback Control

Create a full state feedback controller to allow the RRbot to balance.

Score a goal!

Program a simple dynamic controller for RRBot that will move the robot so that it kicks a ball on the floor.

What you will learn

Course Syllabus

Unit 1: Introduction

What will you learn?
A Hands-on Experience
Outline of the course
Robots used in this course
Requirements for the course
Acknowledgments

30 mins.

Unit 2: Rigid Body Dynamics

Center of Mass
Kinetic Energies
Moments of Inertia
Axis Theorems

1 hr. 30 mins.

Unit 3: Dynamic Modeling

Introduction
Lagrange Formulation
Lagrange Equations
Recursive Formulations

4 hrs.

Unit 4: Feedback Control

Setup
Linearization
Design of the Controller
Numerical Integration of the Continuous System
Simulation of the Robot-Controller System in Gazebo

4 hrs.

Project: Ball Kicking

Inverse Dynamic Model
Trajectory Generation
ROS Torque Controller Node

5 hrs.

Enric Cervera

Teacher

Robotics and Computing teacher at the University Jaume I de Castelló. Researcher on AI as applied to social and educational robotics. Has collaborated on projects with hospitals on how to use robots for autistic child therapies.

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