Archive for July 9th, 2009

Bossa Nova Robotics Unveils First Line of Personal Entertainment Robots

After four years of development, Bossa Nova Robotics, a Pittsburgh-based, robotics company and spinoff from Carnegie Mellon University’s (CMU) Robotics Institute, today unveiled its first line of personal entertainment robots.  Combining the magic of agile robots with a rich play experience, Bossa Nova presented two interactive and enriching biped robots modeled after the way kids play: Prime-8, a fast-paced gorilla robot, and Penbo, an adorable penguin with baby robot.Prime 8

 Bossa Nova’s launch comes on the heels of the opening of Carnegie Science Center’s roboworld™, the world’s largest permanent robotics exhibition, and further establishes Pittsburgh’s position as the nation’s hub for robotics education, research and development.  Penbo and Prime-8 will be used in roboworld’s innovative Robot Workshop to help visitors understand the many uses of robotic technology beyond familiar industrial environments and experience the many ways robots are already in their homes.Penbo

 Bossa Nova’s robots evolved from RHex, a fast-moving, agile, hexapod robot which was developed from 1999 to 2004  as a collaboration between the CMU Robotics Institute and the Defense Advanced Research Projects Agency (DARPA). RHex provided the platform for Bossa Nova’s ‘Ani-Motion’ robotic technology – a revolutionary lifelike robotic mechanism loosely based on animalistic locomotion.  With a vision to bring personal robots to every home, Bossa Nova spent four years further developing the RHex technology to make it affordable and capable of age-appropriate, robot-human interactivity.

 Underlining Bossa Nova’s research and product development is the Japan Robotics Association’s forecast that the market for personal and lifestyle robots will grow to $15 billion by 2015.  According to United States ABI Research, approximately 75% of the market is attributed to entertainment robotics with the majority of sales driven by children’s robots.
 
 ”The technology behind Prime-8 and Penbo has only previously been seen in multi-million dollar research projects,” said Sarjoun Skaff, CEO, Bossa Nova, Ph.D Robotics, CMU.  “To make this kind of technology available to children is unprecedented and what we’ve seen in all of our focus groups is that both kids and adults are impressed by Penbo and Prime-8’s technology and lifelike movements.”

 Continued Skaff, “Children’s robotics is just the start, in the future we envisage creating Bossa Nova robots that will change the way we work, play, learn and stay safe.”

 Not your primitive primate, Prime-8 mimics the way boys play.  Prime-8’s intense interactivity is powered by a battery of sensors that allow him to respond to people and his environment. Outbound sight and sound sensors help Prime-8 maneuver around obstacles, respond to questions with grunts and growls, and express himself. A fast-paced, powerful and fun gorilla robot with a strong personality, his personality radically transforms from a friendly, funny gorilla with warm blue eyes to a ‘Gone Bananas!’ robot, beating the floor and roaring from the top of his lungs, with circuits crackling and furious red eyes.

 On the other end of the robot spectrum is Penbo, an adorable interactive and waddling penguin robot who surprises little girls when she lays an egg.  When the egg is opened, out comes Bebe – a tiny baby penguin that will chirp and communicate with its mother.  Penbo is aware of her surroundings, loves to dance, plays games and talks with Baby in Penguish, her own language; she responds to touch with blinking eyes, flapping wings, and cooing sounds and is a perfect robot companion for little girls to nurture.  

 Prime-8 will be available to consumers for the first time on QVC on July 25.  Penbo will make her consumer debut on QVC in mid-August.  Both products will be available online on August 1st and on shelves at retailers nationwide for the holiday season. 

Check out this great Pittsburgh Post-Gazette article about Bossa Nova as well: http://www.post-gazette.com/pg/09191/982938-115.stm

About Bossa Nova Robotics
Bossa Nova Robotics has been redefining the robotics industry since 2005.  A spinoff from Carnegie Mellon University’s Robotic Institute, Bossa Nova creates enriching entertainment experiences by combining the magic of agile robots with the power of play.  Based in the nation’s robotics capital, Pittsburgh, PA, the Company designs and manufactures personal robots for consumer use.   Bossa Nova was created based on a dream that kids everywhere would one day have an opportunity to interact with a new generation of toy robots.  Unlike anything on the market, Bossa Nova’s robots showcase a new relationship between technology and toys.  Kids love Bossa Nova’s robots because they’re exciting and funny; parents love them because they have a family-friendly play pattern.  In the coming years, Bossa Nova will apply its robotics expertise to security, health, education and home care markets.  For more information about Bossa Nova Robotics, please visit www.bnconcepts.com.

Social Security Number Vulnerability Findings Relied on Supercomputing

Yet another reason to be glad that the Pittsburgh Supercomputing Center (PSC) is right in our backyard. Check ou this news release directly from PSC.

Information available on the Internet can in certain cases be used to predict individual social-security numbers, posing a risk of identity theft that policy-makers and individuals should address. This finding, an unexpected consequence of public information in modern economies, published (Monday, July 6) in the Proceedings of the National Academy of Sciences (PNAS) and highlighted in the New York Times (July 7) and other national media, relied on computational resources of the TeraGrid, a National Science Foundation cyberinfrastructure program. It would have been difficult, if not impossible, to obtain these findings without these publicly-funded, high-performance computing (HPC) resources, says one of the lead researchers, Alessandro Acquisti, a professor at Carnegie Mellon University.

About a year ago, at an important phase in the project, Acquisti and his colleague, Ralph Gross, a post-doctoral researcher, and several graduate students who worked with them, began using a large-scale parallel computing system at the Pittsburgh Supercomputing Center (PSC). “At that stage,” said Acquisti, “we had a rough idea of the results, but to go forward we had to try many different variations of the algorithms. It would have been incredibly difficult to do this, or taken much, much longer without access to this system.”

After first working with desktop computers, the researchers turned last year to a PSC system called Pople (named for Nobel laureate chemist John Pople of Carnegie Mellon). A Silicon Graphics Altix 4700, installed in March 2008, Pople has 768 cores (processors) and 1.5 terabytes of shared memory (all of memory accessible from each core). The SSN runs used up to 400 of Pople’s cores and 800 gigabytes of memory, a large memory requirement that made Pople’s shared memory very helpful to the project.

TeraGrid staff at PSC installed Octave — an open-source version of the programming language MATLAB — and wrote a script to submit a large number of parallel Octave jobs simultaneously on Pople. This facilitated the Acquisti team’s interactive process, which involved doing many runs representing different states and computational strategies, checking and analyzing results and re-thinking before running more variations. PSC’s consulting, said Acquisti, was “extremely helpful.”

One fairly unassuming graphical figure in the PNAS paper, notes Acquisti, represents results of “more than 700,000 regressions over very large sets of data,” which to computational scientists gives a sense of the immense computational scope of the problem. 

“This project,” said Sergiu Sanielevici, PSC director of scientific applications and user support, who also leads user support and services for the TeraGrid, “exemplifies how powerful systems like Pople can open doors to data-mining and data-centric research in fields not traditionally associated with HPC, such as the social sciences, and make it possible to get answers that would otherwise be impractical or impossible.”

PSC supported this project through the NSF TeraGrid program, which allocates large-scale computing resources free to researchers at U.S. universities on a peer-review proposal basis.

Get super geeky and read even more right here.