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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: 

Remember Hitachi’s little helper robot, EMIEW 2 (Excellent Mobility and Interactive Existence as Work-mate)?  It’s been a couple of years since we heard anything regarding the project and we feared the worst.  Hitachi has put those fears to rest by holding a news conference to show off its new enhanced voice recognition and driving performance! Known primarily for its unique legs which have wheels for feet, EMIEW 2 can drive at up to 6km/h to keep pace with people.  If it needs to carry something it can kneel down (for added stability) and scoot around, and thanks to its bipedal legs it can step over obstacles that are too high to drive over.  Now it has been given adaptive suspension control technology which increases its stability when driving over bumpy terrain such as elevator doors.  During the press demonstration, EMIEW 2′s springy legs bobbed independently as it drove over cables and uneven flooring.

Perhaps the most difficult control problem for a drive servo is that of going down a ramp. Any back drivable drive servo will exhibit a freewheeling velocity on a given ramp. This is the speed at which the robot will roll down the ramp in an unpowered state. At this speed, the surface drag and internal drag of the servo are equal to the gravitational force multiplied by the sine of the slope. The freewheeling speed is thus load dependent.

Marius Muja from University of British Columbia returned to Willow Garage this summer to continue his work object recognition. In addition to working on an object detector that can scale to a large number of objects, he has also been designing a general object recognition infrastructure. One problem that many object detectors have is that they get slower as they learn new objects. Ideally we want a robot that goes into an environment and is capable of collecting data and learning new objects by itself. In doing this, however, we don't want the robot to get progressively slower as it learns new objects. Marius worked on an object detector called Binarized Gradient Grid Pyramid (BiGGPy), which uses the gradient information from an image to match it to a set of learned object templates. The templates are organized into a template pyramid. This tree structure has low resolution templates at the root and higher resolution templates at each lower level. During detection, only a fraction of this tree must be explored. This results in big speedups and allows the detector to scale to a large number of objects.

The Russian policeman waved at the orange van zigzagging around the empty plaza, ordering it to stop. The van didn’t, so the officer stepped closer to address the driver. But there was no driver. The van is an autonomous vehicle developed at the University of Parma’s Artificial Vision and Intelligent Systems Laboratory, known as VisLab. Crammed with computers, cameras, and sensors, the vehicle is capable of detecting cars, lanes, and obstacles -- and drive itself. The VisLab researchers, after getting tired of testing their vehicles in laboratory conditions, decided to set out on a real-world test drive: a 13,000-kilometer, three-month intercontinental journey from Parma to Shanghai. The group is now about halfway through their trip, which started in July and will end in late October, at the 2010 World Expo in China. (See real time location and live video.)

The aptly-named StickyBot is a gecko-like robot that can climb smooth surfaces using its feet, which are covered in small, dry rubbery hairs (called setae on the gecko) which provide enough surface tension for dry adhesion. While the original StickyBot has 4 toes per foot, the team at Stanford has created the SB2 which has only 2 toes per foot while still retaining its climbing ability.

The purpose of this essay is to examine whether or not there would be practical reasons for creating a conscious, emotional machine.  I will not delve to deeply into whether or not it is possible to create such a machine, as the argument as to what exactly would constitute a living conscious machine seems largely unsettled.  Rather I will concentrate on whether or not we should create such a machine, if the possibility becomes available to us.  Are there uses for such a machine that could not be satisfied by a complex automaton?  Is there anything about real emotional response that would be necessary for a machine to operate autonomously, and still interact with human beings?  What are the dangers? What are the ethical ramifications? It is questions such as these that will be the interest of this paper.

I remember when, a decade ago, Kevin Warwick, a professor at the University of Reading, in the U.K., implanted a radio chip in his own arm. The feat caused quite a stir. The implant allowed him to operate doors, lights, and computers without touching anything. On a second version of the project he could even control an electric wheelchair and produce artificial sensations in his brain using the implanted chip. Warwick had become, in his own words, a cyborg. The idea of a cyborg -- a human-machine hybrid -- is common in science fiction and although the term dates back to the 1960s it still generates a lot of curiosity. I often hear people asking, When will we become cyborgs? When will humans and machines merge? Although some researchers might have specific time frames in mind, I think a better answer is: It's already happening. When we look back at the history of technology, we tend to see distinct periods -- before the PC and after the PC, before the Internet and after the Internet, and so forth -- but in reality most technological advances unfold slowly and gradually. That's particularly true with the technologies that are allowing us to modify and enhance our bodies.

Remember A-pod, the realistic ant-like hexapod from last year?  Well its creator Kare Halvorsen has uploaded a brand new video showcasing its improved capabilities, and it’s a stunner.  His last video, posted around this time last year, went viral due to the robot’s realistic movements. This year, he ups the ante by showing it walking around and manipulating objects. Some of his past robot projects can be seen in brief snippets, and they’re not too shabby either.  Imagine a horde of these guys with sophisticated A.I.!

Scientists from Columbia University, Arizona State University, the University of Michigan, and the California Institute of Technology (Caltech) have created a robot that’s just 4 nanometers wide. And no, it doesn’t have flashing lights, video cameras or wheels. It does, however, have four legs, and the ability to start, move, turn, and stop. Descendants of the molecular nanobot, or “spider,” could someday be used to treat diseases such as cancer or diabetes. The team built the spider by starting with a protein called streptavidin, that conveniently has four symmetrically-placed binding pockets for a chemical called biotin. The legs were made from four strands of biotin-labeled DNA, which were bound to the pockets. Three of the legs were made from enzymatic DNA, which is a type that binds to and then dissociates (cuts away) from other particular sequences of DNA. Its fourth leg was made from what the researchers call a “start strand” of DNA - it keeps the spider tethered to its starting site, until it’s released.

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.

Scientists at the Johns Hopkins University Applied Physics Laboratory (APL) were awarded no less than $34.5 million by the Defense Advanced Research Projects Agency (DARPA) to continue their outstanding work in the field of prosthetic limb testing, which has seen them come up with the most advanced model yet. Their Modular Prosthetic Limb (MPL) system is just about ready to be tested on human subjects, as it has proved successful with monkeys. Basically, the prosthetic arm is controlled by the brain through micro-arrays that are implanted (gently) in the head. They record brain signals and send the commands to the computer software that controls the arm. To be honest, it will be interesting to see just how these hair-chips are attached to the brain, but the APL say clinical tests have shown the devices to be entirely harmless. The monkeys didn’t mind them too much, at least.