Robot Mechanics and Control, Part II

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edX online courses
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Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

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Business & Management
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Course Description

This course is Part II of a two-part mathematical introduction to the mechanics and control of robots that can be modeled as kinematic chains. Topics covered include the concept of a robot’s configuration space and degrees of freedom, static grasp analysis, the description of rigid body motions, kinematics of open and closed chains, and the basics of robot control. The emphasis is not on the latest research trends and technological innovations in robotics, but on learning the fundamental concepts and core principles that underlie robotics as a scientific discipline. The intent is to help students acquire a unified set of analytical tools for the modeling and control of robots, together with a reliable physical intuition that recognizes the unique and interdisciplinary nature of robotics—in short, content that will serve as a reliable foundation for whatever trends may appear later, and remain relevant to both the practitioner and res...

This course is Part II of a two-part mathematical introduction to the mechanics and control of robots that can be modeled as kinematic chains. Topics covered include the concept of a robot’s configuration space and degrees of freedom, static grasp analysis, the description of rigid body motions, kinematics of open and closed chains, and the basics of robot control. The emphasis is not on the latest research trends and technological innovations in robotics, but on learning the fundamental concepts and core principles that underlie robotics as a scientific discipline. The intent is to help students acquire a unified set of analytical tools for the modeling and control of robots, together with a reliable physical intuition that recognizes the unique and interdisciplinary nature of robotics—in short, content that will serve as a reliable foundation for whatever trends may appear later, and remain relevant to both the practitioner and researcher. NOTE: Part II will cover screw motions and the product of exponentials kinematics formula, inverse kinematics of open chains, velocity kinematics and statics, closed chain kinematics, and basics of robot control.

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