Syllabus for ME 454 — Robotics and Automation

Spring 2015

Course description

The course will focus on the design of an automated mechanical apparatus with given dynamic performance specifications. Mechanical, electrical, sensing, actuating, controlling, and packaging components of the apparatus will be included in the design. The design will be dynamically modelled, simulated, and emulated. The course will be structured as a team design project.

Project

The project page documents the progress of the project.

General information

Instructor
Rico Picone, PhD
Instructor Email
rpicone (at) stmartin (dot) edu
Office Hours
MWF 10 am–11 am, Cebula 103C
Office Hours
MW 1 pm–2 pm, Cebula 103C
Location
Cebula 204
Times
MWF 8:00–8:50 am
Website
ME 454 Website
Moodle
ME 454 Moodle
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Textbook

Reza N. Jazar. Theory of Applied Robotics: Kinematics, Dynamics, and Control. Springer, 2010. [optional]

Notes

Partial notes will be posted here.

Schedule

The following schedule is tentative.

week topics and design stage tasks
define the problem, organization, basic LabView programming Tasks for week #1
design concepts, NI myRIO basics Tasks for week #2
preliminary designs, myRIO sensors Tasks for week #3
modeling of design, myRIO actuators Tasks for week #4
analysis of design, myRIO actuators Tasks for week #5
analysis of design, simulation of design Tasks for week #6
control systems, design review Tasks for week #7
control systems Tasks for week #8
control systems Tasks for week #9
emulation of apparatus Tasks for week #10
emulation of apparatus Tasks for week #11
emulation of total design Tasks for week #12
emulation of total design Tasks for week #13
emulation of total design Tasks for week #14
final design Tasks for week #15
present design Tasks for week #16

Tasks

Tasks for Week #1

  1. Organize teams.
  2. Work through this Labview tutorial.
  3. Two taskforces have been created to work on design concepts in parallel. These taskforces will be presenting their concepts next Wednesday.

Tasks for Week #2

  1. TBA

Tasks for Week #3

  1. TBA

Tasks for Week #4

  1. TBA

Tasks for Week #5

  1. TBA

Tasks for Week #6

  1. TBA

Tasks for Week #7

  1. TBA

Tasks for Week #8

  1. TBA

Tasks for Week #9

  1. TBA

Tasks for Week #10

  1. TBA

Tasks for Week #11

  1. TBA

Tasks for Week #12

  1. TBA

Tasks for Week #13

  1. TBA

Tasks for Week #14

  1. TBA

Tasks for Week #15

  1. TBA

Tasks for Week #16

  1. TBA

Resources

Class resources will be posted here throughout the semester.

Homework, quiz, & exam policies

Homework & homework quiz policies

Weekly homework will be “due” on Fridays, but it will not be turned in for credit. However — and this is very important — each week a quiz will be given that will cover that week’s homework.

Quizzes will be available on moodle each week (as early as I can get them up), and must be completed by Sunday (before midnight). Late quizzes will receive no credit. Multiple attempts may be made on the quizzes (you will receive your mean grade).

Working in groups on homework is strongly encouraged, but quizzes must be completed individually.

Exam policies

The midterm and final exams will be in-class. If you require any specific accommodations, please contact me.

Calculators will be allowed. Only ones own notes and the notes provided by the instructor will be allowed. No communication-devices will be allowed.

No exam may be taken early. Makeup exams require a doctor’s note excusing the absence during the exam.

The final exam will be cumulative.

Grading policies

Total grades in the course may be curved, but individual homework quizzes and exams will not be. They will be available on moodle throughout the semester.

Homework quizzes
20%
Midterm Exam #1
25%
Midterm Exam #2
25%
Final Exam
30%
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Academic integrity policy

Cheating or plagiarism of any kind is not tolerated and will result in a failing grade (“F”) in the course. I take this very seriously. Engineering is an academic and professional discipline that requires integrity. I expect students to consider their integrity of conduct to be their highest consideration with regard to the course material.

Correlation of course & program outcomes

In keeping with the standards of the Department of Mechanical Engineering, each course is evaluated in terms of its desired outcomes and how these support the desired program outcomes. The following sections document the evaluation of this course.

Desired course outcomes

Upon completion of the course, the following course outcomes are desired:
  1. students will have experience working on a design team;
  2. students will design an electro-mechanical apparatus with a computer interface;
  3. students will design a controller for the apparatus;
  4. students will present their design;
  5. students will analyze their design;
  6. students will simulate their design; and
  7. students will emulate their design in hardware.

Desired program outcomes

The desired program outcomes are that mechanical engineering graduates have:
  1. an ability to apply knowledge of mathematics, science, and engineering;
  2. an ability to design and conduct experiments, as well as to analyze and interpret data;
  3. an ability to design a system, component, or process to meet desired needs;
  4. an ability to function on multi-disciplinary teams;
  5. an ability to identify, formulate, and solve engineering problems;
  6. an understanding of professional and ethical responsibility;
  7. an ability to communicate effectively;
  8. the broad education necessary to understanding the impact of engineering solutions in a global and social context;
  9. a recognition of the need for, and an ability to engage in life-long learning;
  10. a knowledge of contemporary issues; and
  11. an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

Correlation of outcomes

The following table correlates the desired course outcomes with the desired program outcomes they support.
desired program outcomes
A B C D E F G H I J K
desired course outcomes 1