The M3-Neony and M3-Synchy were developed as baby bots aimed at testing machine learning software, and specifically to take a look at fine motor skill development. The hardware on this adorable little bot are some typical cameras, a microphone, gyro, accelerometer, and tactile sensors.

I heard about the M3–neony and M3-synchy through this Engadget article but I was disappointed the coverage was so scant. When I began blogging for GoRobotics, I mentioned briefly my loved for HCI, and in particular human-robot interaction – naturally, this article inspired me enough for a second article today. But, as I was excited reading about it, it looks like the article only mentions briefly the research goals of the bots. There is, however, a lot of information about what was used to make them for you gearheads out there. I’m going to comb to find the Japanese lab site if I can, in the meantime here is what’s available so far:

This article at Plastic Pals seems to have more detailed specs on these two robots. The article is long, but features more detailed specs on the bot:

[...] it is 50cm (19.6″) tall, weighs about 3.5kg (7.7 lbs) – about the size of a newborn.  A pair of CMOS cameras for sight and microphones for hearing, as well as gyro and accelerometer sensors, and tactile sensors provide various feedback. The robot has a total of 22 degrees of freedom, powered by high torque (41kg/cm) servo motors sold by Osaka-based robotics company Vstone.

The main focus is on facial expressions and arm gestures, so it is an upper body robot only, with 17 DOF (2 eyes x3, neck x3, waist x2, 2 arms x3), measuring 30cm (12″) tall and weighing 2.5kg (5.5 lbs). The head is equipped with a single wide-angle lens CCD camera, two microphones, a speaker, and 15 LEDs which cause the robot to blush bright red.  Combined with object recognition, speech recognition, and speech synthesis, the robot will be able to communicate in a variety of ways.  The chest and arms appear to be based on Vstone’s Robovie-X hobby robot kit.

If anyone finds out more about what kind of tactile sensors are involved, I’d love to hear about it. Tactile sensors aren’t something I hear about a lot and I’d love to put together an article on what’s out there.

You can catch a video here, and do check out the Plastic Pals article – they have a great gallery of these baby bots.

This little gem came to me courtesy of my friend Greg Baker, who is a lecturer in Computer Science at Simon Fraser University. Thanks Greg! This one was too cool to pass up.

Gåågle – It’s not as weird to pronounce as you’d think. It’s actually pronounced like Google and you’ll begin to see why soon enough. Gåågle Bot is a modified remote-control Roomba that bears a webcam, fueled by real-time AJAX calls that zips around taking pictures and indexing the real world as it sees it. Vacuum, index. I love efficiency!

The name Gåågle Bot is a play on the words gå and google bot. The Swedish word for go is gå. Googlebot, is the name of Google’s web indexer. If you don’t know what Google is, you are either lying or out of luck. Hence Gåågle Bot is a “going” indexer, indexing the real world around us while vacuuming your home at the same time! Can’t find that library book that is due tomorrow? Relax, just gåågle it!

Excited about this bot? Head over here and give it a try. There is also a pretty nifty video as well showing the bot in action. The main site has all of the components listed, the source code, and other tidbits to get you started building your own remote-control crawler.

Today I have an interesting tidbit for those of you on LinkedIn ! There is now a LinkedIn group for hobby roboteers! Now I have even more of a reason to finally get on LinkedIn – we’ll see how much the temptation drives me.

The meat of today’s article is MIT’s MeBot.

MIT has a pretty established humanoid robotics lab, meaning they’re at the forefront of our latent dreams to one day have cyborgs and robots walk the streets with our fellow man. (Call it whimsy, call it crazy, but I’m looking forward to an increasing number of robots in society. ) Anybody interested in robotics already knows of the legacy that MIT has for it’s robotics development, including Kismet – a rather impressive early attempt at robot-human social interaction (you can find more about Kismet here), and Cog – another human-robot interaction experiment that followed the reasoning that Cog should be able to learn from interacting with humans (more information about Cog here). MeBot comes to us from the Personal Robotics Lab.

Telerobotics is the area of robotics development concerned with – you probably guessed it – remote-control robots. The overarching idea of the field is that work needs to be done at a distance in some situations in life, and telerobotics is here to aim to answer those challenges.

The robot was presented at the Human-Robot Interaction conference in Osaka, Japan. Putting an OQO atop for a head plus some gesturing arms into the mix, it adds depth to the notion that you could really be there, and with a decent range of motion, rolling down the halls of MIT. Remotely. Via a robot.

The proposal here is that this mode allows the user to be more engaged through the movement of the head and arms. The head tracks  the face of of the user so that it can ‘look around’. The arms are moved by a set of hand-operated controls.

The “Gulper AUV” is an underwater vehicle that is programmed to look for information of use to the scientific community.

The group explains that it has ‘trained’ the robot to retrieve the highest-quality information back to them.

“We tell it, ‘here’s the range of tasks that we want you to perform’, and it goes off and assesses what is happening in the ocean, making decisions about how much of the range it will cover to get back the data we want.” says Dr Maughan of MBARI.

The Gulper AUV is used to help scientists keep tabs on various algae. In particular, these scientists are keeping watch for algae blooms that could means problems for the ecosystem.

It used to be the case that a ship would be sent out for a whole day every few weeks to retrieve the kind of information that the Gulper AUV can nab in one of its trips. They just take it out to the harbor, and away it goes on its mission. Around twenty-four hours later, it comes back, they hoist it away, and analyze the results.

The biggest flag to go off in my mind is that this must require some interesting exploration and path planning algorithms to deal with an undersea environment. Taking a look at MBARI’s website, the Gulper AUV is equipped with four sonar that operate simultaneously to provide a fantastic map of the sea floor in high resolution.

The multibeam sonar produces high-resolution bathymetry (analogous to topography on land), the sidescan sonars produce imagery based on the intensity of the sound energy’s reflections, and the subbottom profiler penetrates sediments on the seafloor, allowing the detection of layers within the sediments, faults, and depth to the basement rock. All components are rated to 6000 m depth. The vehicle is launched on programmed missions and runs on its own battery power until it returns to the ship, as programmed, for recovery – MBARI AUV Mapping Page

Head over to the article at BBC to hear an audio snippet about the Gulper AUV. it’s about halfway down the page. If you think that’s cool, then you’d also better head over to the AUV’s home page at MBARI to check out the technical goods.

Hi everyone, I’m Angelina and I’ve just jumped on board with GoRobotics as of late. I’m particularly inclined towards social cases and human-robot interaction, so I hope to bring you a lot of interesting stories on that front. I have a background in artificial intelligence (cognitive science) and so another thing I hope to do is to bring some of the interesting scientific developments into the public eye. Academic papers can be overwhelming even if you know the jargon necessary, so I hope to act as a translator and give you some tidbits of what’s going on in university robotics research.

In what has been an ongoing controversial move in the United Kingdom, police forces all over the nation will be able to draw on unmanned air drone robots for surveillance support. The units are remote-controlled and equipped with thermal imaging units, and they’ll set you back about $30,500. So far there is only one unit seeing action in the UK, and it’s already getting publicity for helping the police do their job.

The Merseyside police who happened to be lucky enough to have one of these $30,500 drones flicked on the thermal imaging on a tip that a suspected car thief was somewhere in the neighborhood. They managed to pinpoint the suspect from about three hundred meters away, and their actions also eventually led to the arrest of a second suspect shortly thereafter. Sky News has the coverage over here.

A young man was caught and arrested for breaking a law, which makes this a good day for robotics, and a good case for robots in a pragmatic, practical role. Still, speculation considers the increased use of robots within the police and military to be walking a rather fine line for safety, especially if future units are armed and are expected to operate with any sense of autonomy. Wired has an interesting article detailing the possible ways that police drones could be armed in the future.

A couple interesting submarine launched UAVs, one by Raytheon and another, VOLANS, built by a German company, are featured in this Register article. The Submarine Over the Horizon Organic Capabilities, or SOTHOC, built by Raytheon, is launched out of the waste disposal lock of a submarine. SOTHOC then decents to a preset depth where it rises to the surface and launches a unmanned flying vehicle to gather data. The UAV can relay the data back to the sub via antenna, or if the sub whishes to remain anonymous the data can be relayed via satellite back to the US. This system allows a submarine to lauch an UAV while remaining submerged, in contrast to the VOLANS, which launches via a mast attached to the robot. The VOLANS functions as a mobile periscope for the sub.

The following article will show you how to build a simple robot, called "The Beetle Robot", created by Jerome Demers. It’s great for beginners and easy to do.

This is the Beetle Robot v. 3 you are going to build:



Before starting, I suggest you to read the complete tutorials. This will greatly lower the chances of you making a mistake.



Tools Needed:

• soldering iron  ( here’s a helpful tutorial on soldering )
• electronic solder
• diagonal cutter
• Mini glue gun
  

Components for the robot

• 2x – small 1.5 Volts motors
• 2x – small paperclips
• 2x – big paperclips
• 2x – batteries AAA or AA
• 1x – battery holder AAA or AA
• 1x – 2 cm of heat shrink
• 1x – wooden pearl  (for the caster)
• 1x – meter of electric wire
• 2x – Sub-mini lever SPDT switches
  
  

Here are the serial numbers of the components and tools from RadioShack .

Component

Number

soldering iron	64-2184
electronic solder	64-006
diagonal cutter	64-2951
1.5 Volts motor	273-223
battery holder	270-398
SPDT switch	275-016

Most of the components can be bought for much cheaper at Digi-Key, Jameco, or similar. At Solarbotics you can find the dual AA battery holder and the Mabuchi motor. You can find these components at any good electronic store.

This article lists some ideas for starting a simple robot. A good read for beginners.

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Here’s instructions on how to make a simple and cheap small robot base.

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This article details how to build a solar powered BEAM robot, the Trimet.

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This article details how to build a FLED solar engine for your next BEAM project.

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How to build a BEAM symet.
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As I mentioned in last month’s article, I’d decided to turn my robot into a fire-fighting
robot. Because of scheduling conflicts, I couldn’t attend the international contest in CT,
but I was able to compete in our club’s local contest. Unfortunately, because of short time
constraints I didn’t do so hot, but you can be sure I’ll be providing some real competition
next year!
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This year (2001), my parents have assigned me the task of doing a science fair project. After many many brainstorming ideas, I’ve finally settled on the idea of a project about maze solving robots and algorithms. I read Robot Science and Technology’s article about the C* algorithm, with just a little bit of confusion. After 3 readings I still don’t get it, so I decided I’d better start off simpler. I’ve also played around with Maze Bots, and read over their listings of algorithms. After much deliberation I finally decided on 3 different algorithms to do a project on:
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Fred is my first ‘photopopper’ style bot. I had designed and built a similar bot before, but that one had three motors arranged radialy around a central axis. It didn’t work nearly as well as Fred does.
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