Applied Autonomous Robots II

Last updated: 2/23/2014

Author Information

Professor M. Ani Hsieh
Drexel University

Course Details

Description

This course addresses the problems of controlling and motivating robots to act intelligently in dynamic, unpredictable environments. In this second installment, the course will focus on the robot perception problem. Major topics will include robot vision, visual servoing, and state estimation techniques. To demonstrate these concepts, we will be looking at mobile robots. Lectures will be complemented by projects, discussions, and in-class presentations by students. The projects will focus on programming actual robots to perceive and react to their environment.

Prerequisites

Original Course Documents

Source file URL

Course Contents

Week 1

Reading

Problem Set

Week 2

MATLAB Workspace

Reading

Problem Set

Week 3

Reading

Problem Set

Week 4

Reading

Problem Set

Week 5

Problem Set

Week 6

Problem Set

Week 7

Reading

Problem Set

Week 8

Problem Set

Week 9

Reading

Week 10

Project

Relevant Documents

Deliverables

Textbooks

Introduction to Autonomous Mobile Robots *
by Roland Siegwart and Illah R. Nourbakhsh
ISBN-10:026219502X
ISBN-13: 978-0262195027

Probabilistic Robotics Ŧ
by Sebastian Thrun, Wolfram Burgard and Dieter Fox
ISBN-10: 0262201623
ISBN-13: 978-0262201629

Computer Vision: A Modern Approach Ŧ
by David A. Forsyth and Jean Ponce
ISBN-10: 0130851981
ISBN-13: 978-0130851987

Computer Vision Ŧ
by Linda G. Shapiro and George C. Stockman
ISBN-10: 0130307963
ISBN-13: 978-0130307965

* Required Text
Ŧ Supplemental Text

Resources

Links