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Mahru-Z is the robotic maid that can make breakfast!. Given certain voice commands the robot can perform functions such as working a microwave, delivering toast, and other tasks such as washing clothes. The robots can see with stereoscopic vision and can identify what objects are and even decide what jobs needs to be done with the objects. In the video, one robot appears to be tethered and the other is not making me wonder if they are really self contained. Also, one is wearing a dress and the other not, so are they both maids or is one a butler? Shouldn't they just call them robotic servants or is that redundant? Regardless, although not apparently sentient, these do appear to be advanced robots. I only wonder if they washed their hands before and after handling the food?

On Monday, National Instruments announced one such platform. It's called LabView Robotics. In addition to LabView, the popular data-acquisition application, the package includes a bunch of tools specific to robotics. It can import codes in various formats (C, C++, Matlab, VHDL), offers a library of drivers for a wide variety of sensors and actuators, and has modules for implementation of real-time and embedded hardware. NI says engineers could use the package to both design and run their robotic systems. 

French service robotics company Robosoft has introduced a robot called Kompaï designed to assist elderly and disabled people and others who need special care. The mobile robot talks, understands speech, and can navigate autonomously. It reminds people of meetings, keeps track of shopping lists, plays music, and works as a videoconference system for users to talk with their doctors, for example. The video below is pretty awesome. It shows a senior at Broca Hospital, in Paris, interacting with the robot after receiving only a few minutes of training. The man asks the robot about the time, date, and whether he has any appointments that day; Kompaï gives answers in a computerized voice.

In a recent video, Willow Garage researcher Eitan Marder-Eppstein describes the open-source navigation stack they've released as version 1.0. The code, available at http://ros.org/wiki/navigation, was designed to be flexible and cross-platform, he says, and could be used in anything from a small iRobot Create-based bot to a large multi-sensor robot like Willow's own PR2 (which Spectrum has covered in detail here and here).

In this video we present four types of wall climbing robots that were developed in Dr. Amir Shapiros lab at the Department of Mechanical Engineering of Ben Gurion University of the Negev, Israel. The robots shown are: First, a magnetic climber that has compliant magnetic wheels and is capable to climb on ferromagnetic surfaces. This robot can be used for inspection of ship hull or bridges. Second, is a Snail inspired wall climbing robot capable of climbing on non metallic surfaces using hot melt glue. The robot secretes the adhesive at the front and peels off the track from the wall at the bottom leaving a trail behind just like the snail does. Third, is a robot that uses sticky wheels in order to attach itself to the wall. It simply has 3Ms sticky tape on the wheels. It can climb on smooth surfaces like glass. Fourth, is a four legged wall climbing robot for climbing on rough surfaces. It has 12 claws made of fishing hooks mounted on each footpad, and it climbs like cat or other rodents. For further information email: ashapiro@bgu.ac.il. See also: www.bgu.ac.il/~ashapiro and http://bgurobots.pbworks.com/

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.

Carnegie Mellon has taught its robotic snake to climb trees, though one hopes it won’t start offering your spouse apples. “Uncle Sam” (presumably named for its red, white, and blue markings) is a snake robot built from modular pieces. The latest in a line of ‘modsnakes’ from Carnegie Mellon’s Biorobotics Lab, Uncle Sam can move in a variety of different ways including rolling, wiggling, and side-winding. It can also wrap itself around a pole and climb vertically, which comes in handy when scaling a tree. You have to watch this thing in action. There is something incredibly life-like, and eerie, about the way it scales the tree outdoors and then looks around with its camera ‘eye’. Projects like Uncle Sam show how life-mimicking machines could revolutionize robotics in the near future.

Within the next three years, the U.S. military will test the feasibility of sending a quadruped robot out into the field as a trusty pack mule to carry supplies for its troops, wherever they go. If the testing goes well for Boston Dynamics's Legged Squad Support System (LS3), company founder Marc Raibert will have come a long way from the one-legged hopping robots he pioneered in the 1980s. Actually Raibert has already come a long way, to the point where the U.S. Defense Advanced Research Projects Agency's (DARPA) Tactical Technology Office and the U.S. Marine Corps awarded his company a 30-month, $32-million contract last week to deliver a prototype LS3. This would be the first step in fulfilling the military's call for an autonomous, legged robot that can carry up to 181 kilograms of supplies for at least 32 kilometers without refueling.

Robots mean many things to many people, and National Instruments offers intuitive and productive design tools for everything from designing autonomous vehicles to teaching robotics design principals. The NI LabVIEW graphical programming language makes it easy to program complex robotics applications by providing a high level of abstraction for sensor communication, obstacle avoidance, path planning, kinematics, steering, and more.

Rosie, the robot who kept house for the title family in "The Jetsons," a 1960s animated television show, has at last come alive—sort of. Before you'll see a robot slicing cucumbers in your kitchen, researchers will need to make these mechanical servants smarter. Here's how three teams are tackling this challenge.

Events such as natural disasters, military actions, and public safety threats have led to an increased need for robust robots — especially ones that can travel across complex terrain in any dimension. The ability to scale vertical building surfaces or other structures offers unique capabilities in military applications such as urban reconnaissance, sensor deployment, and setting up urban network nodes. SRI's novel clamping technology, called compliant electroadhesion, has enabled the first application of this technology to wall-climbing robots that can help with these situations.  As the name implies, electroadhesion is an electrically controllable adhesion technology. It involves inducing electrostatic charges on a wall substrate using a power supply connected to compliant pads situated on the moving robot. SRI has demonstrated robust clamping to common building materials including glass, wood, metal, concrete, etc. with clamping pressures in the range of 0.5 to 1.5 N per square cm of clamp (0.8 to 2.3 pounds per square inch). The technology works on conductive and non-conductive substrates, smooth or rough materials, and through dust and debris. Unlike conventional adhesives or dry adhesives, the electroadhesion can be modulated or turned off for mobility or cleaning. The technology uses a very small amount of power (on the order of 20 microwatts/Newton weight held) and shows the ability to repeatably clamp to wall substrates that are heavily covered in dust or other debris.

In what comes as a bit of a surprise, Fuji Soft Inc.’s new humanoid robot platform for hobbyists and researchers has been given the name PALRO (pal + robot).  Naturally we feel this name is a superb choice!  Sales to research institutions will begin on March 15th, 2010 with a general release following later in the year.  The robot combines Fuji Soft’s software prowess with an open architecture which will give developers plenty of room to experiment. PALRO stands 39.8cm (15″) tall and weighs 1.9kg (3.5 lbs), and here’s the good news: it costs 298,000 JPY ($3300 USD).  Considering PALRO has 20 DOF, a camera, 4 directional microphones, a speaker, LED arrays in its head and chest, 4 pressure sensors in each foot, 3-axis gyro sensor, an accelerometer, and an Intel Atom 1.6GHz CPU, it is priced very competitively.  A comparative robot kit like Vstone’s Robovie-PC for example, costs $1100 USD more and doesn’t have such a fancy exoskeleton.

The science behind gecko toes holds the answer to a dry adhesive that provides an ideal grip for robot feet. Stanford mechanical engineer Mark Cutkosky is using the new material, based on the structure of a gecko foot, to keep his robots climbing.

A research project will be conducted this week in Linz, Austria, to discover what the ideal interaction between people and humanoid robots ought to be in the future, Honda R&D and Ars Electronica Futurelab announced today. The research, the first of its kind in Europe, will involve members of the public directly interacting with ASIMO, Honda's humanoid robot.

Icosatetraped does, in fact, mean “twenty-four legged.” I’m not sure how to inject “soft” into that word (icostatetrasquishaped?), but this robot does have 24 soft legs. Or rather, 8 legs are soft (and moving) at any one time, while the other 16 are pressurized to carry the weight of the bot. It can move at about 1 meter per minute, which isn’t especially fast, but who cares, look at all of those little legs go! Made from plastic medical tubing, particle board, a bunch of solenoids, a Mac Mini, and some 24 volt rotary vane compressors salvaged from Gulf War nerve gas detecting equipment, this is about as DIY as it gets, and it’s awesome.

Researchers at CMU and Intel are attempting to map and understand human brain activity well enough that individual words can be detected. Currently, giant MRI machines are being used but the future holds smaller devices that can be worn like a helmet according to Dean Pomerleau, senior researcher at Intel. The efficiency and productivity of word detection will be superior to existing technology that allows an operator to simply control a cursor. This technology will no doubt make its way into robotic telepresence applications including remote surgery and construction in dangerous environments such as the ocean and space.

PC-compatible industrial computers are increasing in computing power at a rapid rate due to the availability of multi-core microprocessor chips, and Microsoft Windows has become the de-facto software platform for implementing human-machine interfaces (HMIs). PCs are also becoming more reliable. With these trends, the practice of building robotic systems as complex multi-architecture, multi-platform systems is being challenged. It is now becoming possible to integrate all the functions of machine control and HMI into a single platform, without sacrificing performance and reliability of processing. Through new developments in software, we are seeing industrial systems evolving to better integrate Windows with real-time functionality such as machine vision and motion control. Software support to simplify motion control algorithm implementation already exists for the Intel processor architecture.

With all of the new competition in the consumer robotics field, it’s about time for iRobot to show that they’re still capable of innovating new and exciting things. AVA, their technology demonstrator, definitely fits into the new and exciting category. AVA is short for ‘Avatar,’ although iRobot was careful not to call it a telepresence robot so as not to restrict perceptions of what it’s capable of. AVA is capable of fully autonomous navigation, relying on a Kinect-style depth sensing camera, laser rangefinders, inertial movement sensors, ultrasonic sensors, and (as a last resort) bump sensors. We got a run-down a few days ago at CES, check it out: