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University of Pennsylvania

Robotics: Computational Motion Planning

University of Pennsylvania via Coursera

Overview

Robotic systems typically include three components: a mechanism which is capable of exerting forces and torques on the environment, a perception system for sensing the world and a decision and control system which modulates the robot's behavior to achieve the desired ends. In this course we will consider the problem of how a robot decides what to do to achieve its goals. This problem is often referred to as Motion Planning and it has been formulated in various ways to model different situations. You will learn some of the most common approaches to addressing this problem including graph-based methods, randomized planners and artificial potential fields. Throughout the course, we will discuss the aspects of the problem that make planning challenging.

Taught by

CJ Taylor

Reviews

4.2 rating, based on 4 Class Central reviews

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  • Jan Tatham completed this course.

  • Alexander Todorov completed this course.

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    Alex Ivanov

    Alex Ivanov completed this course.

  • AHCENE SEBOUI

    AHCENE SEBOUI completed this course.

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