Embedded27 Jul 2017

208: What If You Had a Machine Do It

Elecia gave a talk about machine learning and robotics at the Hackaday July Meetup at SupplyFrame DesignLab (video!) and LA CrashSpace. She gives it again in the podcast while Chris narrates the demos.

Embedded Patreon

Embedded show #187: Self Driving Arm is the interview with Professor Patrick Pilarski about machine learning and robotics applied to prosthetic limbs.

I have also written more about my machine learning + robot arm on this blog. My code is in github (TyPEpyt).

My machine learning board is Nvidia's Jetson TX2. The Two Days to a Demo is a good starting point. However, if you are new to machine learning, a better and more thorough introduction is the Andrew Ng's Machine Learning course on Coursera. To try out machine learning, look at Weka Data Mining Software in Java for getting to know your data and OpenIA Gym for understanding reinforcement learning algorithms

I use the MeArm for my robot arm. For July 2017, the MeArm kit is on sale at the Hackaday store with the 30% off coupon given at the meetup (or in Embedded #207).

Inverse kinematics is a common robotics problem, it took both Wiki and this blog post to give me some understanding.

I wasn't sure about the Law of Cosines before starting to play with this so I made a drawing to imprint it into my brain.

Robot Operating System (ROS) is the publisher-subscriber architecture and simulation system. (I wrote about ROS on this blog.) To learn about ROS, I read O'Reilly's Programming Robots with ROS and spent a fair about of time looking at the robots on the ROS wiki page.

I am using OpenCV in Python to track the laser. Their official tutorials are an excellent starting point. I recommend Adafruit's PCA9685 I2C PWM/Servo controller for interfacing the Jetson (or RPi) to the MeArm.

Finally, my talk notes and the Hackaday Poster!

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(584)

537: Quiet Time Innovation

Christopher and Elecia catch up on life, firmware consulting, daydreams, and projects. Elecia thinks aloud about low-stimulation education toys. Christopher shares his experience using AI tools to bu...

29 Okt 1h 19min

536: I've Seen a Giraffe

David Such joins us to discuss his new book, Embedded AI: Intelligence at the Deep Edge. We explore the boundary between classical signal processing, heuristics, and edge machine learning; IMU process...

15 Okt 59min

535: The You in the Machine

Adam Smith from UC Santa Cruz joins us to discuss local Small Language Models (SLMs) and building open, autonomous tools. We explore his BayLeaf AI counterplatform, transagency (the "me-and-the-car" c...

1 Okt 1h 29min

534: I Think We'll Add a Head

Aaed Musa joins us to talk about building robot dogs, custom actuators, and his YouTube channel. He shares how he moved from 3D-printing servo robots in his parents' garage to designing capstan drives...

17 Sep 1h 13min

533: The Garage Is Open

Author Susan Lammers joins the show to discuss the 40th anniversary edition of her classic book, Programmers at Work. We discuss what it was like to interview young and pioneering software developers ...

4 Sep 59min

532: It's Still Real Fire

Kevin Santo Cappuccio, founder of Architeuthis Flux, joins the show to discuss creating Jumperless, an open-source breadboard that replaces physical jumper wires with software-controlled analog crossb...

20 Aug 1h 9min

531: Sequestering the Mess

Elecia and Christopher celebrate winning the IEEE Educational Activities Board Meritorious Achievement Award in Outreach and Informal Education! A huge thank you to Mark Omo and the wonderful listener...

6 Aug 1h 7min

530: A Living Highlighter

Marine biologist Dr. Steven Haddock joins the show to share the alien, glowing, and transparent wonders of the deep ocean. We discuss his beautiful new book, The Radiant Sea, and explore the complex e...

25 Jul 1h 8min