University and Department:
Case Western Reserve University
Department of Mechanical & Aerospace Engineering
Department of Electrical Engineering & Computer Science
Dr. Roger Quinn – Lead Advisor
Dr. Frank Merat – Advisor on Machine Vision
Primary Email Address:
Primary Telephone Number (include area and country code😞
List all parts (hardware, software, etc.) you used to design and complete your project:
Qty. 2 – NI 9411 – Differential Digital Input
Qty. 1 – NI 9250 – Analog to Digital
Qty. 1 – NI 9401 – 10 MHz Digital I/O
Qty. 1 – NI 9422 – 12-60V Digital Input
Qty. 1 – NI 9870 – RS232 Serial I/O
Qty. 2 - NI 9481 – Relay
NI LabVIEW 2009 SP1
NI RT (Real-Time)
NI PID Toolkit
NI Vision Assistant
Describe the challenge your project is trying to solve.
Build a robust autonomous lawnmower to compete in the Institute of Navigation’s annual autonomous robotic lawnmower competition. The challenge incorporates: network communication and synchronization, data acquisition, sensor interfacing, vision processing, signal processing, artificial intelligence, system control, and robotic actuation.
Describe how you addressed the challenge through your project.
CWRU Cutter, pronounced “crew cutter,” is Case Western Reserve University’s NI-powered response to the 2010 ION Autonomous Robotic Lawnmower Competition. The robot incorporates a CompactRIO and Embedded Vision System in order to accomplish the aforementioned tasks. CWRU Cutter placed 1st in the 2009 competition with a similar hardware platform.
Please upload photos below:
Please see the attached photos -- or "CWRU Cutter 2010 NI Week Application.pdf" -- for more photos and graphs.
Please insert video below:
Body text is attached to this page in "CWRU Cutter 2010 NI Week Application.pdf."