[Stewart Allen] acquired a Mindstorm kit about a month ago and he’s already building his own sensors for it. He wanted a more accurate range finder with a narrower measurement field than the stock sensor. Mindstorm has the option to communicate with sensors via an I2C bus. [Stewart] set up an ATtiny45 to act as a the slave on the bus, facilitating the analog measurement of the distance voltage by using and lookup table, and handling the data transfer with the NXT brick. His testing setup is pictured above, with an AVR Dragon for programming the tiny45 and a Bus Pirate for sniffing the I2C data during the development process. The sensor, looking great on a professionally made PCB he ordered, requires a simple driver that [Stewart] hammered out for use with leJOS, the alternative Mindstorm firmware we’ve seen before.

Here’s an Android device controlling a LEGO Mindstorms robot. [Josh] and a couple of his colleagues developed software to get both Android 2.1 (video above) and Android 1.6 (video) to work as Bluetooth control devices. The NXT cube is running leJOS, a Java virtual machine, allowing you to program Mindstorms using Java. Although their code is at an early Alpha stage, this shows that it works and is a very welcomed tool for NXT development once they get to a more stable point and release it to the masses.

CubeStormer solves Rubik’s cubes and it does it quickly! Made entirely out of LEGO, a Mindstorm web camera is used to scan in the cube with four mechanical hands for manipulation. The device is capable of solving a random cube in less than 11 seconds. That’s quite a bit faster than the last Minstorm solver we saw, and the CuBear solver we are so fond of.

[Thanks Ferdinand]

The idea of the Great Ball Contraption is to take modules from many builders and combine them into one large machine. The modules need to find some way of moving LEGO soccer balls and basketballs from an input point to an exit are that passes them onto the next module. Some of them sort the balls, but in the end the eight-and-a-half-minute video above shows the orbs going around and around. That’s just fine with us, it’s no secret that we love machines that are overly complicated and may be completely useless.

It has been quite a while since we looked in on the world of automated Rubik’s cube solving. [David Gilday] built this one using LEGO Mindstorm parts. It uses a computer to calculate the solutions but unlike the standalone Tilted Twister, this creation can solve more than one type of cube. As long as the physical dimensions are between 5 and 6 centimeters on a side, the machine can solve 2, 3, 4, and 5 piece cubes. [David] wasn’t quite satisfied with that though. He built a separate machine to take care of the 6x6x6 cubes too. See both in action after the break.

Want to see more? Don’t miss the CuBear solver developed at Berkeley or the AVR based solver.

[Thanks Pieter via Singularity Hub]

Obviously you’ve got too much hacking to do right now, but that game of Tetris isn’t going to play itself. [Branislav Kisacanin] has you covered with his Tetris-playing robot which is build with LEGO Mindstorm pieces. The setup is actually pretty complicated. A Texas Instruments DM6437 video development board watches the computer screen via a webcam and calculates the next move. It then outputs that to a grid of LEDs which the Mindstorm watches using a light sensor. See it in action after the break and then take some time to check out our other various Tetris based hacks.

[MkMan's] LEGO spider robot combines pieces from a Mindstorm kit with a few milled plastic parts. The legs are a locomotive concept called a Klann Linkage. They operate in pairs and convert the rotational force from one motor into movement for two legs. Here, a total of four rotating gears moves eight legs, besting the hexapods we saw a couple of weeks ago in both leg count and motor economy.

Each limb is made up of five pieces plus one base for each pair. That makes eleven pieces per pair and a total of 44 for the entire robot. [MkMan] milled these parts out of 3/8″ HDPE stock. He’s made videos of forward motion and turning which we’ve embedded after the break. Even on a polished surface the bot looks fairly efficient at getting around.

Walking forward

Turning