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Robotics is a vast field of study, encompassing theories across multiple scientific disciplines. In this video, we'll program a robotic arm in a simulated environment to pick up an object. Along the way, we'll learn about both forward and inverse kinematics. We'll optimize our arms trajectory using calculus and observe how its angles change over time, measuring them with trigonometry. We'll code this in Python, this is an example of machine learning applied to robotic manipulation. Enjoy! Code for this video: https://github.com/llSourcell/Robotic_Manipulation Please hit that subscribe button if you liked this interview! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More educational links here: https://blog.robotiq.com/how-to-calculate-a-robots-forward-kinematics-in-5-easy-steps http://courses.csail.mit.edu/6.141/spring2011/pub/lectures/Lec14-Manipulation-II.pdf https://www.alanzucconi.com/2017/04/06/forward-kinematics/ https://appliedgo.net/roboticarm/ http://www.ent.mrt.ac.lk/~rohan/teaching/ME5144/LectureNotes/Lec%205%20Kinematics.pdf Join other Wizards on our Slack channel: http://wizards.herokuapp.com/ School of AI https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 #SirajRaval #Robotic Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hiring? Need a Job? See our job board!: www.theschool.ai/jobs/ Need help on a project? See our consulting group: www.theschool.ai/consulting-group/