Begin Robotics
Learn robotics as you explore their history, anatomy, and intelligence before test driving robots using exciting simulations with this online robotics course from the University of Reading.
Duration
4 weeks
Weekly study
3 hours
100% online
How it works
Unlimited subscription
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Robots today are roving Mars, hoovering our floors, building cars and entertaining us in films. But how do robots achieve particular tasks? And is our relationship with them evolving?
On this four-week course, you’ll gain a solid introduction to robotics to answer these questions and more.
You’ll delve into the different applications of robots, human-robot interaction, and robot cooperation that mimics living systems.
As you discover the basics of robot anatomy, you’ll explore the key components of robot design, control, and behaviour.
Through a series of practical simulations, you’ll test drive an ERIC – our very own University of Reading mobile robot.
You’ll command ERIC to explore its environment avoiding obstacles, follow a line, and act like a Braitenberg vehicle.
Next, you’ll delve into cybernetics and the importance of control, feedback and interaction.
You’ll command ERIC to track a moving object and be introduced to virtual reality, interaction, and haptics.
Finally, you’ll examine robot instincts and learning, and discuss the advantages and disadvantages of robots adapting their behaviour.
Learning from the experts at the University of Reading, you’ll gain theoretical knowledge and practical skills as you’re guided through simulations to help you practise what you have learned.
By the end, you’ll have the knowledge and skills to move onto more advanced robotics topics.
Welcome to the course. Find out what we have in store for you over the next few weeks.
Let's get started by looking at the definition and history of robotics. We'll also introduce you to some of the robots here at the University of Reading.
In this section, we'll look at how robots are used and our relationship with them.
In the first two of a series of simulations throughout the course, you will be able to test drive an ERIC. This week you will be able to set the speed of ERIC to determine movement.
Review and reflect on what you've learnt this week and test your knowledge with a quiz.
Have a look at what will be covered this week - robot anatomy.
Let's look in detail at sensors and actuators and how these allow a robot to move, measure quantities and achieve certain tasks.
Now we'll look at how a robot moves. In particular, types of motors, power supplies and the 'brain'.
Check out these simulations, where you will get the chance to navigate an ERIC around a racetrack.
Let's look at the anatomy of some of our very own robots at Reading including ERIC and the rover robots. Then we'll meet R2-D2.
Review and reflect on the week and then test your knowledge with a short quiz.
This week we'll be looking at feedback control and why it's so important in robotics.
Let's take a closer look at how we can control a robot and also how it can be done automatically.
We'll show you some of the ways you can interact with the robots here at the University.
Find out about what haptic technology is and why it plays such an important part in psychology research at the University of Reading.
In this week's simulations, command a robot to do specific actions and to track a moving object.
Review what we've covered this week, before testing yourself with a short quiz.
Find out what you will be learning in this final week.
What features do robots have in common with living systems?
Check out robot 'eyes', simple 'neurons' and responding to light.
Explore how light and light sensors can be used to control robot-to-robot interaction and mimic examples of behaviour found in nature.
Find out about the relationship between instinct and learning in nature and why it can be useful to devise a way for some robots to 'learn'.
Ants, flocking and Craig Reynolds boids; this is where you'll look at examples of robot cooperation that mimic cooperative behaviour in living systems.
In this Week's simulations; define motor speeds to help ERIC navigate along the walls of a maze and define neurons for Braitenberg-type robots.
Take some time to think about what you've learnt, what you've achieved and what's next.
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