Useful Tools and Resources

Those courses are very helpful and FREE to build a solid theoretical foundation:

• Robot Kinematics: https://www.coursera.org/specializations/modernrobotics, you can enroll in the course with the audit mode for free.

• Introduction to Artificial Intelligence: https://www.udacity.com/course/intro-to-artificial-intelligence--cs271

• Introduction to Reinforcement Learning: https://www.udacity.com/course/reinforcement-learning--ud600

• Introduction to Machine Learning: https://www.coursera.org/learn/neural-networks-deep-learning/. The version I took was free. You can enroll in the course with the audit mode for free.

• Instructions I wrote to start to use the UR5d robot arm: https://scazlab.github.io/ur5e_setup_guide.html

• Instructions I wrote to start to use the Kuka Youbot arm: https://scazlab.github.io/kuka_setup_guide.html

It is important to get your hands dirty

ROS (Robot operating System) is one of the most popular systems we use to code the robots. You can also run simulators with it. The ROS website contains enough tutorials for you to start with.

I am learning how to combine statistical learning with logic recently (e.g., markov logic network, beyasian logic), and here are a few useful links:

Markov Network/Markov Random Fields

https://www.youtube.com/watch?v=iBQkZdPHlCs https://www.youtube.com/watch?v=meBWAboEWQk

More to come…

• I will pose intructions for the Baxter robot.
• I am compiling useful instructions for Adobe Premier to make videos for your project.
• I am compiling useful instructions for Adobe Illustrator to make pictures for your paper.

Disclaimer: I do not receive any finanial incentives for anything I recommeded here. I recommend them only because I read them myself and found them very useful.