Uber Has An Autonomous Fatality

You have doubtlessly heard the news. A robotic Uber car in Arizona struck and killed [Elaine Herzberg] as she crossed the street. Details are sketchy, but preliminary reports indicate that the accident was unavoidable as the woman crossed the street suddenly from the shadows at night.

If and when more technical details emerge, we’ll cover them. But you can bet this is going to spark a lot of conversation about autonomous vehicles. Given that Hackaday readers are at the top of the technical ladder, it is likely that your thoughts on the matter will influence your friends, coworkers, and even your politicians. So what do you think?

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RoMA: Robotic modeling assistant

3D Printing And Modelling With A Robot Assistant

[Huaishu Peng] and a group of other researchers have come up with a system that allows them to use virtual reality (VR) to model an object in a space in front of them while a robot simultaneously 3D prints that object in that same space, a truly collaborative effort they call the RoMA: Robotic Modelling Assistant. This is a step toward fixing the problem of designing something and then having to wait for the prototype to be made before knowing how well it fits the design goals.

The parts: designer, AR headset, AR controller, rotating platform, robotic printer
The parts

How does the designer/robot collaboration work? The designer wears an Oculus Rift VR headset with a camera mounted to the front, turning it into an AR (Augmented Reality) headset. In front of the designer is a rotating platform on which the object will be 3D printed. And on the other side of the platform is the 3D printing robot. In the AR headset, the designer views the platform, the object, and the robot as seen by the camera but with the model he’s working on overlayed onto the object. An AR hand controller allows him to work on the model. Meanwhile, the robot 3D prints the model. See it in action in the video below.

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Test Ideas Now With Sensors Already In Your Pocket

When project inspiration strikes, we’d love to do some quick tests immediately to investigate feasibility. Sadly we’re usually far from our workbench and its collection of sensor modules. This is especially frustrating when the desired sensor is in the smartphone we’re holding, standing near whatever triggered the inspiration. We could download a compass app, or a bubble level app, or something similar to glimpse sensor activity. But if we’re going to download an app, consider Google’s Science Journal app.

It was designed to be an educational resource, turning a smartphone’s sensor array into a pocket laboratory instrument and notebook for students. Fortunately it will work just as well for makers experimenting with project ideas. The exact list of sensors will depend on the specific iOS/Android device, but we can select a sensor and see its output graphed in real-time. This graph can also be recorded into the journal for later analysis.

Science Journal was recently given a promotional push by the band OK Go, as part of their OK Go Sandbox project encouraging students to explore, experiment, and learn. This is right up the alley for OK Go, who has a track record of making music videos that score high on maker appeal. Fans would enjoy their videos explaining behind-the-scene details in the context of math, science, and music.

An interesting side note. Anyone who’s been to Hackaday Superconference or one of the monthly Hackaday LA meetups will likely recognized the venue used in many of the OK Go Sandbox videos. Many of them were filmed at the Supplyframe Design Lab in Pasadena. It’s also nice to see AnnMarie Thomas (Hackaday Prize Judge from 2016 and 2017) collaborated with OK Go for the Sandbox project.

While the Science Journal app has provisions for add-on external sensors, carrying them around would reduce its handy always-available appeal. Not that we’re against pairing smartphones with clever accessories to boost their sensing capabilities: we love them! From trying to turn a smartphone into a Tricorder, to an inexpensive microscope, to exploring serious medical diagnosis, our pocket computers can do it all.

[via Engadget]