Kinect-driven Cart Makes Shopping A Snap

wi_go

[Luis de Matos] is working on a neat Kinect project called Wi-GO that aims, as many do, to enhance the lives of individuals with disabilities. While the Wi-GO project is geared towards disabled persons, it can be quite helpful to the elderly and pregnant women as well.

Wi-GO is a motorized shopping cart with a Kinect sensor mounted on the back. The sensor interfaces with a laptop and functions much as you would as you would expect, scanning the area in front of the cart for objects and people. Once it identifies the individual it is meant to help, the cart diligently follows behind as the person goes about their typical shopping routine. The robot keeps a safe distance to avoid collisions, but remains within reach so that it can be used to carry goods.

If you take a look a the video below, you can see Wi-GO in action. It starts off by showing how difficult it would be for an individual in a wheel chair to use a shopping cart alone, and follows up by showing how much easier things are with Wi-GO in tow.

While the project is only in prototype form at the moment, we suspect that it will only be a matter of time until you see devices like Wi-GO in your local supermarket.

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Cube Solving Robot Shatters The World Record

This cube-shaped bot just shattered the robotic Rubik’s Cube solving record by about 8 seconds. It did it in a blazing 10.69 seconds to best the old record of 18.2 seconds. There was immediate confusion here at Hackaday as some of us thought the record was actually around six seconds. And it is, for humans. That’s right, the human record holder completed a cube in 6.24 seconds… faster than a robot by almost four seconds. It’s surprising that we can still beat mechanized devices at some repetitive mechanical operations.

Take a look at the speed run shown in the video after the break. What strikes us is that the motions are incredibly efficient, and the bot is very quite. Compare that efficiency to CuBear, a solver that uses a different motor for each side of the cube. That one doesn’t need to grip the cube making us think it could beat this version if the firmware were quite a bit faster.

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Tree Climber Takes A Page From The Inchworm Book

Sharp talons and a strong torso let this robot climb trees, even while carrying a heavy payload. It uses a simple principle, two gripping units allow it to grab onto the tree. These modules alternate, one grips while the torso moves the other up the tree.

You can make out the trio of rods which connect the front and back half of the robot in the image above. Watch the video after the break to see how the motors move these rods with the dexterity of an inchworm, allowing it not only to climb upwards, but to bend and flex to match the contours encountered in the wild.

This was presented at International Conference on Robotics and Automation a few weeks ago. Unfortunately we can only find an abstract for the paper so please leave a link in the comments if you know where to find the full monty.

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Aquabot Gets Around More Than You’d Think

This doesn’t have the flashy futuristic appeal that we’d like to see from high-tech robots, but this amphibious wanderer is well suited for it’s intended purpose. It was developed by researchers at the University of Minnesota to navigate mostly wet environments, collecting data about water quality as part of a distributed army of sensor bots.

The two little arms sticking out in front of it are made of carbon fiber and attached to servo motors inside. The video below the fold shows the trapezoidal body tumbling end-over end to get around. But the awkward, baby-turtle-like locomotion isn’t the only thing in its bag of movement tricks. It can also adjust its buoyancy to float, sink, or hover somewhere in the wet stuff.

To get a better look at what went into developing this, take a look at the Adelopod developed at UMN a couple of years back. We also embedded a video of that tumbling robot because they share the build details we’re always on the lookout for.

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This Robot Can Beat You At Pointless Games

We already know that robots can be smarter than us as evidenced by Watson beating [Ken Jennings] at Jeopardy, or Deep Blue beating [Garry Kasparov] at chess. Now [E024576] is striving to build a bot to compete at physical games.

For the challenge, he’s chosen one of the games from a television game show called Minute to Win It. This challenge is called Mad Dog, and lends its name to this robot. The goal is to pick up a ruler with two tic tac containers glued to it, then shake it until all of the candies are ejected from those containers. Check out what he’s come up with in the clip after the break. The machine is driven by a PIXAXE microcontroller, with input from an IR remote control. It reaches out, grips the ruler tightly, and shakes like there’s no tomorrow. Quite impressive, even if there’s very little purpose in its operation. That makes it the perfect task for robot, right?

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Robot Juggler Sure Handles A Lot Of Balls

This robot juggler, pictured above during its appearance at Amper 2010, can keep five balls in the air at once. It was designed by the Department of Control Engineering at the Czech Technical Institute in Prague. We know it doesn’t look like much in that still image, but the two videos embedded after the break are pure gold.

To arms on vertical tracks do the juggling. They can move up and down on said tracks, and circular grippers attached to each can pivot horizontally. A third actuator resides at the bottom of the machine, collecting any balls that might drop, and launching them back into the realm of the juggling hands. A high-speed camera facilitates object tracking in much the same ways that it’s been used for quadcopter control.

The objects being thrown around in that protective enclosure are billiards balls. We guess the added mass helps to dampen any small irregularities in the throw or the catch.

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Wall Climbing Robot Uses Supersonic Grippers

supersonic_wall_gripper

Watch out Spidey, there’s a new wall climber in town!

Researchers [Matthew Journee, XiaoQi Chen, James Robertson, Mark Jermy, and Mathieu Sellier] recently unveiled their wall climbing wonder bot at the 2011 IEEE International Conference on Robotics and Automation. Like most other wall climbing bots, theirs operates on the Bernoulli principle to keep it stuck to the surface, but that’s where the similarities end.

Unlike other Bernoulli-based climbers, this robot’s gripper never actually touches the surface it is climbing. The researchers were able to accomplish this feat by designing a specialized gripper which forces air through a 25 μm gap, creating a very powerful low pressure vortex. The gripper’s design compresses the air by shape alone, causing the air flow to reach speeds of Mach 3, without relying on powerful pumps or increased air volume.

The researchers state that their supersonic gripper can support about five times the weight of a conventional Bernoulli gripper, and as you can see in the video below it also has no problem climbing a wide variety of surfaces.

Window-washing Roomba, here we come!

[via Make]

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