Modular Robotics' Cubelets Prototypes on Video

Build a functional robot out of snap-together blocks with Modular Robotics' Cubelets

2 min read
Modular Robotics' Cubelets Prototypes on Video

Modular Robotics' Cubelets are designed to be an absurdly simple way to build robots. You don't have to know how to program anything or even how to build anything; just snap a few specialized Cubelet blocks together and poof, you've got a robot. Want to build something different? Just use different blocks in different combinations, it's that easy:

[vimeo //vimeo.com/moogaloop.swf?clip_id=19712586&server=vimeo.com&show_title=0&show_byline=0&show_portrait=0&color=00ADEF&fullscreen=1&autoplay=0&loop=0 expand=1]

One set of 20 Cubelets would cost you $300, if you could buy them, which you can't, because they're sold out. In that set you'd get:

Action Blocks: 2 Drive, 1 Rotate, 1 Speaker, 1 Flashlight, 1 Bar Graph
Sense Blocks: 1 Knob, 1 Brightness, 2 Distance, 1 Temperature
Think/Utility Blocks: 2 Inverse, 1 Minimum, 1 Maximum, 1 Battery, 2 Passive, 2 Blocker

Last time I posted about Cubelets, I posed a question that nobody even tried (as far as I could tell) to answer, so I'm just going to go ahead and pose it again: How many different permutations of robot you can make with one set of 20 Cubelets, keeping in mind the following:

-Each Cubelet has either 5 or 6 attachment points (depending on what it does)
-The same set of Cubelets functions differently when arranged differently
-Cubelet permutations must be able to exist in physical space (tricky!)

You may ignore the fact that using (say) two inverse blocks in a row is functionally identical to not using any inverse blocks, and assume that a Cubelet robot that has a different size or layout counts as a different robot. And while the definition of "robot" is, as always, a little bit iffy, suffice it to say that to count, a Cubelet robot has to be able to sense something or perform some action.

If you can convince us that you have the right answer (post it in the comments section below), it's good for an Automaton t-shirt. Good luck!

[ Modular Robotics ]

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Robot with threads near a fallen branch

RoMan, the Army Research Laboratory's robotic manipulator, considers the best way to grasp and move a tree branch at the Adelphi Laboratory Center, in Maryland.

Evan Ackerman
LightGreen

This article is part of our special report on AI, “The Great AI Reckoning.

"I should probably not be standing this close," I think to myself, as the robot slowly approaches a large tree branch on the floor in front of me. It's not the size of the branch that makes me nervous—it's that the robot is operating autonomously, and that while I know what it's supposed to do, I'm not entirely sure what it will do. If everything works the way the roboticists at the U.S. Army Research Laboratory (ARL) in Adelphi, Md., expect, the robot will identify the branch, grasp it, and drag it out of the way. These folks know what they're doing, but I've spent enough time around robots that I take a small step backwards anyway.

The robot, named RoMan, for Robotic Manipulator, is about the size of a large lawn mower, with a tracked base that helps it handle most kinds of terrain. At the front, it has a squat torso equipped with cameras and depth sensors, as well as a pair of arms that were harvested from a prototype disaster-response robot originally developed at NASA's Jet Propulsion Laboratory for a DARPA robotics competition. RoMan's job today is roadway clearing, a multistep task that ARL wants the robot to complete as autonomously as possible. Instead of instructing the robot to grasp specific objects in specific ways and move them to specific places, the operators tell RoMan to "go clear a path." It's then up to the robot to make all the decisions necessary to achieve that objective.

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