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In recent years, ‘social’ robots—cleaning robots, nursing-care robots, robot pets and the like—have started to penetrate into people’s everyday lives. Saerbeck and other robotics researchers are now scrambling to develop more sophisticated robotic capabilities that can reduce the ‘strangeness’ of robot interaction. “When robots come to live in a human space, we need to take care of many more things than for manufacturing robots installed on the factory floor,” says Haizhou Li, head of the Human Language Technology Department at the A*STAR Institute for Infocomm Research. “Everything from design to the cognitive process needs to be considered.”

In the 1970s the CIA had developed a miniature listening device that needed a delivery system, so the agency’s scientists looked at building a bumblebee to carry it. They found, however, that the bumblebee was erratic in flight, so the idea was scrapped. An amateur entymologist on the project then suggested a dragonfly and a prototype was built that became the first flight of an insect-sized machine. A laser beam steered the dragonfly and a watchmaker on the project crafted a miniature oscillating engine so the wings beat, and the fuel bladder carried liquid propellant. Despite such ingenuity, the project team lost control over the dragonfly in even a gentle wind. “You watch them in nature, they’ll catch a breeze and ride with it. We, of course, needed it to fly to a target. So they were never deployed operationally, but this is a one-of-a-kind piece.”

Tiny microbots swimming through liquid invariably conjures up images of Isaac Asimov's sci-fi classic Fantastic Voyage.But while microbots exist, and they can be made to swim, it's getting them to change direction that has been tricky so far - a bit of an issue if you're even planning on sticking them in a human body, for instance.Now a system used to propel swimming microbots without the need for on-board fuel has brought this idea one step closer. Researchers at North Carolina State University have coaxed their bots to perform U-turns on command.

Until now you can have big elaborate robots or very small microbots but it is very difficult to have both. A blog post from New Scientist (where this video is from) points out the research on microbots, very small machines that will move, navigate and perform simple tasks. The ability to remotely power a microbot, thus eliminating the need for onboard battery or fuel, is already proven and one of the methods is the application of an AC field to a liquid where the robot is located. This microbot is essentially a diode, a one-way electric conductor. The different electric charges at its ends force the neighboring ions to move thus creating a small thrust that propels the bot. The team of Rachita Sharma and Orlin Velev from North Carolina State University developed a method where a controlled application of an additional DC field changes the ion distribution around the microbot and this time the ion field creates a torque that rotates the microbot. The DC field is applied until the completion of a 180-degree turn. Then the microbot moves again, now in the opposite direction. It is only 1.3mm long and as claimed by other scientists like Vesselin Paunov from the University of Hull, UK this arrangement can be further scaled down where it can be useful for diagnostic and localized drug supply applications.

A new form of propulsion that could allow microrobots to explore human bodies has been discovered. The technique would be used to power robots and other devices such as microfluidic pumps from a distance. Finding a propulsion mechanism that works on the microscopic scale is one of the key challenges for developing microrobots. Another is to find a way to supply such a device with energy because there is so little room to carry on-board fuel or batteries. Now a team lead by Orlin Velev at North Carolina State University in Raleigh, US, has found that a simple electronic diode could overcome both these problems. Velev and Vesselin Paunov from the University of Hull, UK, floated a diode in a tank of salt water and zapped the set-up with an alternating electric field.

A new form of propulsion that could allow microrobots to explore human bodies has been discovered. The technique would be used to power robots and other devices such as microfluidic pumps from a distance. Finding a propulsion mechanism that works on the microscopic scale is one of the key challenges for developing microrobots. Another is to find a way to supply such a device with energy because there is so little room to carry on-board fuel or batteries. Now a team lead by Orlin Velev at North Carolina State University in Raleigh, US, has found that a simple electronic diode could overcome both these problems. Velev and Vesselin Paunov from the University of Hull, UK, floated a diode in a tank of salt water and zapped the set-up with an alternating electric field.

Robots might one day trace the origin of their consciousness to recent experiments aimed at instilling them with the ability to reflect on their own thinking. Although granting machines self-awareness might seem more like the stuff of science fiction than science, there are solid practical reasons for doing so, explains roboticist Hod Lipson at Cornell University's Computational Synthesis Laboratory.

During the Google IO event, two new great features of the popular Android OS were announced. The most important from a robotics point of view is the Android Open Accessory standard that is Arduino based and enables Android devices to integrate with hardware via usb (or bluetooth in the near future). You can read more in the posts on engadget.com and robots-dreams.com (where the video is from). Also engadget reports on the Android @ Home framework that aspires to interconnect every home appliance, device or gadget to an integrated network. More information and details will be announced soon from Google but already the potential for various robotic applications that could take advantage of these projects looks promising.

There is a long history of attempts at replicating neural systems either in software or in conventional semiconductors, such as the FACETS project (not to mention the creation of conventional logic gates from lab-grown biological neurons!) According to a USC Viterbi news release, researchers at the BioRC project, whose goal is research on an artificial cortex, have succeeded in creating a functioning synapse from carbon nanotubes. The new research was presented by Alice C. Parker in the paper "A biomimetic fabricated carbon nanotube synapse for prosthetic applications" at the Life Science Systems and Applications Workshop in April 2011. (unfortunately the actual paper is behind a paywall but the abstract is readable). An earlier paper, "A Biomimetic Carbon Nanotube Synapse Circuit", describes the proposed design of synapse including schematics and comparison with biological neural

Researchers at the University of Pennsylvania are developing algorithms to enable robots to learn to read like a human toddler. Using a Willow Garage PR2 robot (nicknamed Graspy), the researchers demonstrate the ability for a robot to learn to read anything from simple signs to full-length warnings. Graspy recognizes the shapes of letters and associates them with sounds. Part of the computer vision challenge is reading hundreds of different fonts. More information is available in a Psyorg article and from the ROS website.

Google announced at Google IO conference 2011 that they will supply Android@Home framework for home automation to developers, giving them the ability to think of "every appliance in your home" as a potential accessory for your phone. The Google team teased ideas like lights turning on and off based on calendar events, applications talking to washing machines, games automatically adjusting for mood lighting, and basically little green dudes taking care of all the menial duties in your house. One amazing demo was a concept, Android-powered device hub called Tungsten. Using RFID embedded into CD cases the device was able to detect the CD and add it to your library. Another touch and it started automatically.

This is Treebot. As you might expect, Treebot was designed to do one thing: climb trees. It is by no means the first robot able to do this, but its arboreal predecessors (RiSE and Modsnake and accidentally PackBot are just a few) weren't autonomous and didn't have the skills necessary to negotiate the complex network of branches that you tend to find on trees worth climbing.

The Berkeley-based startup is developing exciting new technology that is truly the stuff of comic books and, formerly, of science fiction. Specifically, the company is making wearable, artifi­cially intelligent bionic devices that it calls “exoskeletons”. This has taken shape in two significant forms: eLEGS and HULC. Both of which you can see (as well as an interview with Berkeley Bionics CEO Eythor Bender) in the accompanying video.

A new aquatic microrobot that mimics the water-walking abilities of the water strider has been developed by researchers at the Harbin Institute of Technology in China.The robot is about the size of a quarter, with ten water-repellent, wire legs and two movable, oar-like legs propelled by two miniature motors. Because the weight of the microrobot is equal to that of about 390 water striders, one might expect that it would sink quickly when placed on the water surface. But it stands effortlessly on water surfaces and also walks and turns freely.

Back in 2008, IBM announced their plan to try and create a computer that more accurately imitated the computing process of the human brain. Now, with a little help from 4 research Universities and DARPA, they’ve produced prototypes of the first few chips and are on the way to building their first, full-fledged robo-brain. If you’re going to run for the hills, now would be a good time to start. The project’s goal is to drastically alter the way in which computers compute by changing their structure to mimic the human brain instead of functioning as calculators. You see, most computers are von Neumann machines, meaning that the memory and processor are separated. The practical result of this is that as you reach the limit of how fast information can be passed from the memory to the processor via the bus, you reach the limit of computing power. In the human brain, the memory and the processors are in thousands of nodes that communicate slower, but simultaneously and radially. IBM’s prototypes are chips that, in quantity, can emulate those nodes.

Back in 2008, IBM announced their plan to try and create a computer that more accurately imitated the computing process of the human brain. Now, with a little help from 4 research Universities and DARPA, they’ve produced prototypes of the first few chips and are on the way to building their first, full-fledged robo-brain. If you’re going to run for the hills, now would be a good time to start. The project’s goal is to drastically alter the way in which computers compute by changing their structure to mimic the human brain instead of functioning as calculators. You see, most computers are von Neumann machines, meaning that the memory and processor are separated. The practical result of this is that as you reach the limit of how fast information can be passed from the memory to the processor via the bus, you reach the limit of computing power. In the human brain, the memory and the processors are in thousands of nodes that communicate slower, but simultaneously and radially. IBM’s prototypes are chips that, in quantity, can emulate those nodes.

This video from PAL Robotics shows the teleoperation system of its REEM robot. Equipped with a Kinect sensor as a motion capture device, a laptop captures the gestures and movements of a person and feeds the result to the robot as commands. This process is called motion retargeting and the teleoperation system was developed by Marcus Liebhardt as part of his master thesis project. PAL Robotics is a small Spanish company based in Barcelona, part of the PAL Group from Abu Dhabi. It develops humanoid robots since 2004 and its latest version of the REEM line of robots focuses towards commercial applications.

IROS 2011 takes place later this month in San Francisco (25th ~ 30th), and as usual there’s so many interesting projects being presented that attendees won’t be able to see them all. We’ve looked at the schedule and will highlight some of them, beginning with this robot developed at the Graduate School of Information Science & Technology, The University of Tokyo, Japan.

Using robots, the two ETH architects, who run the Gramazio & Kohler design studio, have fabricated intricate building parts out of wood, concrete, bricks, and foam, and have used these parts to build complex, beautiful installations in Zurich, London, Barcelona, New York, and other locations.

So after all that you are probably asking, “What is SimpleCV?” It is an open source computer vision framework that lowers the barriers to entry for people to learn, develop, and use it across the globe. Currently there are a few open source vision system libraries in existence, but the downside to these is you have to be quite the domain expert and knowledgeable with vision systems as well as know cryptic programming languages like C. Where SimpleCV is different, is it is “simple”. It has been designed with a web browser interface, which is familiar to Internet users everywhere. It will talk to your webcam (which most computers and smart phones have built in) automatically. It works cross platform (Windows, Mac, Linux, etc). It uses the programming language Python rather than C to greatly lower the learning curve of the software. It sacrifices some complexity for simplicity, which is needed for mass adoption of any type of new technology.