Ultra MegaMax Dominator (aka UMMD) is my third 3D printer design/build. I used much of what I learned from its predecessors, and tried a few experiments, resulting in a very high quality machine that produces very high quality prints. Time will tell if it meets my reliability goals.
Take a look at my upgraded Stirling Engine with its new gas burner and flywheel!
If you take a look at my previous post you’ll see how I built a 3D printed holder for my Stirling Engine kit. Since I needed a constant heat source I added a small gas burner salvaged from an old BBQ lighter and attached it to the engine.
While building my zombie containment unit, I decided I wanted some LED displays or bar graphs to complement the containment status video running on the smaller secondary video monitor. Some other containment units used LED air pressure gauges from eBay. I wanted to achieve a similar look, but I also wanted my gauge to be software controllable so I could change the number of segments lit in response to events in the playback of the two videos. I decided it was time to build my own LED bar graphs.
Yu Jiang Tham designed and built his own bartender robot named Bar Mixvah, that is available on Github:
I built a robot that mixes drinks named Bar Mixvah. It utilizes an Arduino microcontroller switching a series of pumps via transistors on the physical layer, and the MEAN stack (MongoDB, Express.js, Angular.js, Node.js) and jQuery for the frontend and backend. In this post, I’ll teach you how I made it. You can follow along and build one just like it!
Saulius Lukse writes, “Almost any sensor yields more interesting results if mounted on a moving platform. It’s time to mount TOF LIDAR on two precision rotary stages arranged for pan and tilt operation. Rig provides real-time position data along with distance to an obstacle. Using simple math we can calculate position in Cartesian coordinate system. Data is collected point by point to reconstruct 3D object model. After 3D reconstruction and colorizing in MeshLab I got amazing result of my room.”
If you ever watch the original Star Trek, Captain Kirk and crew spend a lot of time mapping new parts of the galaxy. In fact, at least one episode centered on them taking images of some new part of space. It might not be new, but if you have a drone, you probably have accumulated a lot of frames of aerial imagery from around your house (or wherever you fly).
WebODM allows you to create georeferenced maps, point clouds and textured 3D models from your drone footage. The software is really an integration and workflow manager for Open Drone Map, which does most of the heavy lifting.
Getting started with WebODM or Open Drone Map is simple since they provide preconfigured Docker images. You don’t have to worry about assembling a bunch of dependencies to make everything work. There are other mapping applications in use, too. You can see a comparison of five popular choices in the video below. WebODM isn’t complete yet, but they intend to include mission planning and integration with mobile apps.