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Retour à Modern Robotics, Course 2: Robot Kinematics

Avis et commentaires pour d'étudiants pour Modern Robotics, Course 2: Robot Kinematics par Université Northwestern

263 évaluations

À propos du cours

Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics? If so, then the "Modern Robotics: Mechanics, Planning, and Control" specialization may be for you. This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study. It is not a sampler. In Course 2 of the specialization, Robot Kinematics, you will learn to solve the forward kinematics (calculating the configuration of the "hand" of the robot based on the joint values) using the product-of-exponentials formula. Your efforts in Course 1 pay off handsomely, as forward kinematics is a breeze with the tools you've learned. This is followed by velocity kinematics and statics relating joint velocities and forces/torques to end-effector twists and wrenches, inverse kinematics (calculating joint values that achieve a desired "hand" configuration), and kinematics of robots with closed chains. This course follows the textbook "Modern Robotics: Mechanics, Planning, and Control" (Lynch and Park, Cambridge University Press 2017). You can purchase the book or use the free preprint pdf. You will build on a library of robotics software in the language of your choice (among Python, Mathematica, and MATLAB) and use the free cross-platform robot simulator V-REP, which allows you to work with state-of-the-art robots in the comfort of your own home and with zero financial investment....

Meilleurs avis


30 sept. 2018

It is a great start for learning kinematics of open chain robots, i wish i could learn ore about the closed chain robots too, but they have given the boost, now its your turn to learn more and more


7 juil. 2020

This was very challenging course if you are not already familiar with things like Jacobians and eigenvectors. Thankfully the lectures were great in helping me understand the gaps in my knowledge.

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