[Tyler]

Robots: An Uncertain Revolution
     

The latest episode of Robots
dives into the revolution brought on by the field of probabilistic
robotics. Claudio Mattiussi,
Senior Researcher at the EPFL's Laboratory of Intelligent Systems,
discusses the advantages of using a probabilistic or Bayesian approach
to perceiving the world, adding a touch of history, philosophy and
projection. Rather than opposing good old fashion artificial
intelligence (GOFAI) or Brooks' behavior based approach, Mattiussi
proposes that the "uncertain" revolution caused by the probabilistic
paradigm offers lots of space for middle ground and may be very good
news for robotics. To see how good our listeners are at making their own
probabilistic predictions Robots just launched a most uncertain
robot contest to estimate the outcome of a mundane robot cleaning task.
   

http://robots.net/article/2639.html