ENGRTEC 3200
Transcript Abbreviation:
AdvRobotics
Course Description:
Advanced Robotics is a 2-credit elective course designed to teach students the basics of implementing two-dimensional vision processes as well as collaborative robot operation and programming.
Course Levels:
Undergraduate (1000-5000 level)
Designation:
Elective
General Education Course
(N/A)
Cross-Listings
(N/A)
Credit Hours (Minimum if “Range”selected):
2.00
Max Credit Hours
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits
(N/A)
Total Completions Allowed
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
Off Campus:
Sometimes
Campus Location:
Lima
Mansfield
Marion
Newark
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Hybrid Class (25-74% campus; 25-74% online)
Prerequisites and Co-requisites:
2100 or 2200 or FANUC Certified Handling Tool Operations and Programming Level I
Electronically Enforced:
Yes
Exclusions
(N/A)
Course Goals / Objectives:
• Learn how to use collaborative robots to perform a task applicable to industry, such as material handling
• Become more familiar, comfortable, and capable using a collaborative robot
• Discuss various uses for collaborative robots as well as their limitations
• Understand the use of vision systems and their purpose in robot processes
• Identify and set up vision equipment and software, including camera calibration
• Know the concepts and limitations behind cameras and lighting in vision applications
• Coordinate and communicate robot programming with a team
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Robot Safety, Camera setup and Calibration, Vision Mastering. Camera setup and calibration, vision master the robot. | .9 | 0 | 1.8 | 0 |
| Offset frames, 2D single-view processes. Create an offset frame and a 2D single-view process | .9 | 0 | 1.8 | 0 |
| Vision Concepts, Model learning . Add model learning to the previous 2D single-view process . | .9 | 0 | 1.8 | 0 |
| VRs and instructions, Blob locator Tool. Create a vision program, Create a 2D single-view process using the Blob locator tool, then create a program. | .9 | 0 | 1.8 | 0 |
| 2D Inspection vision processes, 2D multi-view vision processes. Create and test a 2D Inspection vision process. | .9 | 0 | 1.8 | 0 |
| Vision Systems in Industry. Create and test a 2D multi-view vision process. | .9 | 0 | 1.8 | 0 |
| Robot Safety, Collaborative Robot operation and tablet introduction. Navigate around the tablet, jog the robot, set up payloads and collaborative speed . | .9 | 0 | 1.8 | 0 |
| Collaborative robot programming. Backup and restore, create a pattern-tracing program. | .9 | 0 | 1.8 | 0 |
| More on Programming. Create a palletizing program. | .9 | 0 | 1.8 | 0 |
| Cobot functionality. Practice push-to-escape, auto-resume, and auto-status checking functions. | .9 | 0 | 1.8 | 0 |
| Cobot advanced functionality. | .9 | 0 | 1.8 | 0 |
| Create limited picking/placing area, switch contact stop force limits. | .9 | 0 | 1.8 | 0 |
| Cobots and Vision. Create a program using cobot vision tools | .9 | 0 | 1.8 | 0 |
| Force Control Functions. Cobot Vendors and uses. | .9 | 0 | 1.8 | 0 |
| Total | 12.6 | 0 | 25.2 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Lab
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Lab completion and demonstration | 30% |
| Post Lab assessments | 10% |
| Quizzes | 10% |
| Written Exam (Vision) | 10% |
| Written Exam (Cobots) | 10% |
| Practical Exam (Vision) | 15% |
| Final Project | 15% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| • Fanuc Academy HandlingTool Operations and Programming Student Manual (may be needed for reference only) | Fanuc | |
| • Fanuc Academy 2D iRVision Operations and Programming R-30iB PLUS Controller Student Manual | Fanuc | |
| • Fanuc Academy CRX-Series Robot Operations and Programming Student Manual | Fanuc |
ABET-CAC Criterion 3 Outcomes:
| Outcome | Contribution | Description |
|---|---|---|
| 1 | Significant contribution (7+ hours) | Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. |
| 2 | Significant contribution (7+ hours) | Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. |
ABET-ETAC Criterion 3 Outcomes
(N/A)
ABET-EAC Criterion 3 Outcomes
(N/A)
Embedded Literacies Info:
Advanced Writing
This course does not have an Advanced Writing Embedded Literacy
Data Analysis - Quantitative
This course does not have a Data Analysis – Quantitative Embedded Literacy
Data Analysis - Qualitative
This course does not have a Data Analysis – Qualitative Embedded Literacy
Technology
This course does not have Technology – Qualitative Embedded Literacy
Attachments
(N/A)
Additional Notes or Comments
(N/A)