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Robotics: Computational Motion Planning

University of Pennsylvania via Coursera

students interested
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
Cost Free Online Course (Audit)
Pace Upcoming
Subject Robotics
Provider Coursera
Language English
Certificates Paid Certificate Available
Calendar 4 weeks long
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Reviews for Coursera's Robotics: Computational Motion Planning
4.3 Based on 4 reviews

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