Access and Equipment
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Steps for Access and Use
Step #1: Permits and Fees
Ensure you have:
[-] A CoE permit (blue, red OR green is sufficient) and have paid your materials fee for this semester. Our student staff are required to swipe your ID every time to verify.
or
[-] A valid M-Pass. You must show our staff your physical M-Pass and wiscard.
Note: College of Engineering faculty and staff are not required to pay the materials fee though they still must have a CoE permit.
Step #2: Talk to Student Staff
Find a Makerspace student staff member (they’re wearing a black apron). They can typically be found around the makerspace. They don’t bite I promise! Tell them that you want to check out a robotics & ML item at the checkout window.
Equipment Specs
| Make | Model | Qty | Permit | |
| Segway Robotics | Loomo | 2 | Blue | Developer Page |
| Vision Kit | 1 | Blue | Developer Page | |
| Voice Kit | 1 | Blue | Developer Page | |
| DOBOT | DOBOT Magician | 1 | Blue | Developer Page |
| Amazon | Deep Lens | 1 | Blue | Developer Page |
| Thalmic Labs | Myo | 1 | Blue | Developer Page |
| Leap Motion | Leap | 1 | Blue | Developer Page |
Useful Guides and Links
Dobot Magician
Great for projects that involve anything needing an arm, a robotic arm of course. Dobot comes with a gripper and suction cup that works with a Python API.
If you’re the adventurous type, which we hope you are, Dobot includes 13 I/O ports, an interface for making custom modules, and support for Arduino. Check out the Dobot’s website for more features.
Nota bene: Laser beam also included, wear eye protection.
Official Guides: Dobot download page
AWS DeepLens
Deploy your computer vision application on AWS. DeepLens requires you to set up an account with AWS. We can help you set it up! After that, you can train, build, and deploy your deep learning models to DeepLens! Your friends will be impressed and you can put AWS on your resume. Trust me, employers love to see AWS on resumes.
Resources: AWS Website
Google AIY Kits
Google offers maker kits to learn the basics of machine learning! We have voice and vision kits that run machine learning inference on the device. It’s a hackable device and geared toward beginners and makers.
Tutorial Page: Here TensorFlow Page: Here
Segway Robotics Loomo
Loomo provides an easy to use API to incorporate computer vision and robotic controls. You’ll have to make an Android app, since Loomo is a Segway with an android tablet strapped to its head. Luckily Google has great documentation. See the link below
Developer Page: Here
Android Guide: Here