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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.

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.

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.

aims at developing swarms of flying robots that can be deployed in disaster areas to rapidly create communication networks for rescuers. Flying robots are interesting for such applications because they are fast, can easily overcome difficult terrain, and benefit from line-of-sight communication.

The Special Project for Earthquake Disaster Mitigation in Urban Areas (2002-2006) conducted by the Earthquake Research Institute at the University of Tokyo. The project revealed the detailed geometry of the subducted Philippine Sea plate (PSP) beneath the Tokyo Metropolitan area and improved information needed for seismic hazards analyses of the largest urban centers. In 2007 the Special Project for Earthquake Disaster Mitigation in Tokyo Metropolitan Area started focusing at  the vertical proximity of the PSP down going lithospheric plate and the risks for the greater Tokyo urban region that has a population of 42 million and is the center of approximately 40 % of the nation's activities. A M 7 or greater (M 7+) earthquake in this region at present has high potential to produce devastating loss of life and property with even greater global economic repercussions. The Central Disaster Management Council of Japan estimated that a great earthquake in the region might cause 11,000 fatalities and 112 trillion yen (1 trillion US$) economic loss. The Earthquake Research Committee of Japan estimated a probability of 70 % in 30 years for a great earthquake in this region. 

Instead of calling CrazyFlie (as it's known) a tiny quadcopter, it might be more accurate to just describe it as a PCB that happens to also be able to launch itself into the air. Measuring a scant 10 centimeters per side, CrazyFlie uses its PCB as a primary structural component, which helps keep the size and weight to a minimum... In total, we're talking about only 20 grams. Despite its tinyness, the quadcopter includes a charging port, radio, 3-axis accelerometer, two gyroscopes, and a lightweight 110 mAh LiPO battery that gives it about four and a half minutes of flying time: