Robotics & AI

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The Nippon Institute of Technology, with Harada Vehicle Design, ZMP, and ZNUG Design, have developed a humanoid robot about the size of an elementary school student for educational purposes.  The university adopted 35 of ZMP’s e-nuvo WALK robots in 2004 for a 1:1 student-robot ratio.  Whereas the e-nuvo WALK (the educational version of NUVO) is quite small, the new robot is tall enough to interact with its environment in a more meaningful way.  Students will demonstrate the robot at elementary and junior high schools, as well as care facilities.  The goal is to improve student learning by raising awareness of bipedal robot technology and its connection to math and physics, while also giving them hands-on experience with the bot.  Additionally, by visiting care facilities the university students will come to understand the real-world needs and applications for robots.

Kota Nezu of ZNUG Design talks about his work developing the look of ZMP’s RoboCar, an educational platform for researchers working on autonomous vehicles.  The video is entirely Japanese, but you can see some cool CAD work and there’s some explanatory slides in this .PDF file.  Nezu-san also designed ZMP’s e-nuvo Humanoid, and Toyota’s personal transporter, the i-unit (seen in model form on his desk).  Part 2 follows after the break for those interested.

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.

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.

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 ability to harness and control the power of bacterial motion is an important requirement for further development of hybrid biomechanical systems driven by microorganisms," said Argonne physicist and principal investigator Igor Aronson. “In this system, the gears are a million times more massive than the bacteria."

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. 

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.

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/

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.

When will human-level AIs finally arrive? We don’t mean the narrow-AI software that already runs our trading systems, video games, battlebots and fraud detection systems. Those are great as far as they go, but when will we have really intelligent systems like C3PO, R2D2 and even beyond? When will we have Artificial General Intelligences (AGIs) we can talk to? Ones as smart as we are, or smarter? Well, as Yogi Berra said, “it’s tough to predict, especially about the future.” But what do experts working on human-level AI think? To find out, we surveyed a number of leading specialists at the Artificial General Intelligence conference (AGI-09) in Washington DC in March 2009. These are the experts most involved in working toward the advanced AIs we’re talking about. Of course, on matters like these, even expert judgments are highly uncertain and must be taken with multiple grains of salt — nevertheless, expert opinion is one of the best sources of guidance we have. Their predictions about AGI might not come true, but they have so much relevant expertise that we should give their predictions careful consideration.

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 Care-O-bot® research initiative aims at making Care-O-bot® 3 available as high-tech research platform. The main objectives to reach this goal are to provide a common open source repository for the hardware platform provide simulation models of hardware components provide remote access to the Care-O-bot® 3 hardware platform

NI LabVIEW Robotics is a software package that provides a complete suite of tools to help you rapidly design sophisticated robotics systems for medical, agricultural, automotive, research, and military applications. The LabVIEW Robotics Software Bundle includes all of the functionality you need, from multicore real-time and FPGA design capabilities to vision, motion, control design, and simulation. Watch an introduction and demonstration of LabVIEW Robotics.

The potential for the QTC material to transition from an insulator to a conductor (i.e. change its electrical property) is influenced by how much deformation the material is experiencing as a result of the applied mechanical pressure. QTC can be used to produce low profile, low cost, pressure activated switches or sensors that display variable resistance with applied force and return to a quiescent state when the force is removed. The difference between a QTC switch and a QTC sensor is arguably only the speed and amount of physical input required to achieve the required switching point or resistance range.

Robots have revolutionized the factory. What about the field? Over the past century, agriculture has seen an explosion in productivity, thanks to things like mechanization, synthetic fertilizers, selective breeding, and, of course, pesticides -- lots of it. But it remains to be seen what role robots will play in working the fields. Automation was possible in factories because tasks were repetitive and the environment well-defined. A robot arm welding a car chassis does the exact same job over and over. When it comes to crops, though, everything changes: the environment is unstructured and tasks -- like picking a fruit -- have to be constantly readjusted.

The latest episode of the Robots podcast interviews Dr. Alvar Saenz-Otero from MIT on the SPHERES project. SPHERES (Synchronized Position Hold Engage and Reorient Experimental Satellites) are basketball-sized satellites able to fly in and maintain formation at nanometer precision. In the second part of this episode we continue our quest for a good definition of a robot by looking at a well-known definition dating back to 1979. Read on or tune in!

It seems robots are getting into acting more and more these days, which makes sense given acting is nothing more than a simulation of real feelings and situations.  Last year we took a look at a few examples, but a UK-based company has been at it since 2005; their latest being the RoboThespian RT3.  Developed by Engineered Arts Ltd, the robot is actuated primarily by Festo air muscles and dc servo motors.  You can see him in person at Pittsburgh’s Carnegie Science Center, where he was nicknamed Andy (short for android) as part of their permanent roboworld exhibit.