Robohub.org
 

How to get started (and progress) in robotics: A quick guide for teens and adults


by
09 December 2015



share this:

I get many questions from people about how I think kids and adults should get started in robotics, how they should progress, and what they should buy, to learn about robotics. This is a quick guide to help you get going.

I’ve described three levels below — Level 1 is for people older than 12; Level 2 is for people older than 15, and Level 3 is for people over 18. An adult can probably start at Level 2 if desired, however starting at Level 1 will give you important basic skills and knowledge that you can build on.

Don’t worry about the details. You do not need to learn how SPI or wifi work, for example, but you will slowly pick up the details as you use them.


 

Level 1 – Getting Started with Micros
Make_Arduino_for_Bots_and_Gadgets

  1. Set a clear and realistic goal – Robots are hard, so match your expectations to your skills. Your first robot should be really simple.
  2. Recommended BookMake: Arduino Bots and Gadgets: Six Embedded Projects with Open Source Hardware and Software and Arduino Robot Bonanza
  3. Get your hands dirty – Learn how to mechanically and electrically build a robot.
    • For this task, design and build a robot that uses an Arduino Uno, 2-4 motors, 2-4 simple sensors, a switch, a LED and a battery.
    • The Sparkfun Inventors Kit for Redbot is a great choice for this step.
    • Design on paper what the robot should look like and the parts that you need (if you buy a kit, use it, but then modify it).
    • Build the robot using basic hand and power tools.
  4. Learn how to program – Use the Arduino to program the robot.
    • Start by simply making the light on the Arduino blink. If you have never done this before, it will take longer than you think it!
    • Spin a single motor.
    • Read from your sensors and play with them – use Microsoft Excel to generate a calibration curve.
    • Combine the sensors and motor code to do what you desire.
  5. Join a robotics club – There are many options! For example:

 

Level 2 – Getting Started with Embedded Computing

Make_a_Raspberri_Pi
  1. Set a clear and realistic goal – Build upon what you learned in Level 1 to set goals for level 2.
  2. Recommended BookMake a Raspberry Pi-Controlled Robot: Building a Rover with Python, Linux, Motors, and Sensors
  3. Get your hands dirty – Learn how to mechanically and electrically build a robot.
    • For this task, design and build a robot that uses a Raspberry Pi computer, 2-4 motors, 2-4 sensors, and a battery
    • Design your parts with a CAD tool (such as Google Sketchup or Solidworks)
    • Think about how you will interface your sensors to the computer?
    • Use new materials and construction techniques. Try to use a 3D printer or laser cutter if possible.
  4. Learn how to program – Use the Linux computer to program the robot.
    • Learn basic C++ or Python, try talking to serial ports.
    • Make your robot act as desired.

Level 3 – Advanced Computing

  1. Set clear and realistic goals – You should increase the difficulty of your goals as you advance. At this point, try setting a goal that you’d like to attempt, even if you are not sure you can achieve it.
  2. Learn basic trig and statistics – Learn the basic math that you need for robotics.
  3. Get someone else’s hands dirty – Design a part and shop it out to be machined.
  4. Learn how to use more advanced sensors – Such as a Camera and/or LIDAR.
  5. Software – Learn the Robot Operating System (ROS).
  6. Algorithms – Continue making software more advanced. Autonomy, mapping, device drivers, etc…

Each level will take time to develop and learn, but following this path will ensure that you have the knowledge you’ll need to progress to the next level.


 

Additional Resources

I tend to like Sparkfun for buying hobby parts. Other places you should look are Adafruit, and Pololu. They all have blogs and tutorials for using the hardware they sell, including basic robotics, Arduino, and Raspberry Pi.

 



tags: , , ,


Robots for Roboticists David Kohanbash is a Robotics Engineer in Pittsburgh, PA in the United States. He loves building, playing and working with Robots.
Robots for Roboticists David Kohanbash is a Robotics Engineer in Pittsburgh, PA in the United States. He loves building, playing and working with Robots.





Related posts :



Robot Talk Episode 133 – Creating sociable robot collaborators, with Heather Knight

  14 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Heather Knight from Oregon State University about applying methods from the performing arts to robotics.

CoRL2025 – RobustDexGrasp: dexterous robot hand grasping of nearly any object

  11 Nov 2025
A new reinforcement learning framework enables dexterous robot hands to grasp diverse objects with human-like robustness and adaptability—using only a single camera.

Robot Talk Episode 132 – Collaborating with industrial robots, with Anthony Jules

  07 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Anthony Jules from Robust.AI about their autonomous warehouse robots that work alongside humans.

Teaching robots to map large environments

  05 Nov 2025
A new approach could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.

Robot Talk Episode 131 – Empowering game-changing robotics research, with Edith-Clare Hall

  31 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Edith-Clare Hall from the Advanced Research and Invention Agency about accelerating scientific and technological breakthroughs.

A flexible lens controlled by light-activated artificial muscles promises to let soft machines see

  30 Oct 2025
Researchers have designed an adaptive lens made of soft, light-responsive, tissue-like materials.

Social media round-up from #IROS2025

  27 Oct 2025
Take a look at what participants got up to at the IEEE/RSJ International Conference on Intelligent Robots and Systems.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence