Announcement of the "Bayesian FIltering Library"...

Another part of the Orocos project has reached a beta version release
phase :-) That is, I am proud to announce the "Bayesian FIltering
Library" developed by my PhD student Klaas Gadeyne. The BFL fills the
"intelligent sensor processing" work package of the Orocos project. 

It provides a common infrastructure to Bayesian sensor processing
algorithms, such as Kalman FIlters (classical, extended, iterated,
non-minimal state, ...), particle filters, ...

True to our design policy of having modular and decoupled software
libraries and components, the BFL is conceived as a fully stand-alone
free software project: 
 <http://people.mech.kuleuven.ac.be/~kgadeyne/bfl>

For the lucky ones that are at the ICAR conference in Portugal: go and
see Klaas' talk. He will show the latest results on applying the
"particle filter" parts of BFL to intelligent force controlled
manipulation :-) (An update of the web page with these recent results
will be done after Klaas returns from the conference.)

PS This BFL is in a state that _does_ invite "Cathedral like" feedback
   and patches from users :-)

Herman

-- 
  K.U.Leuven, Mechanical Engineering, Robotics Research Group
<http://people.mech.kuleuven.ac.be/~bruyninc> Tel: +32 16 322480