OMPL wins the 2012 OSS World Challenge Grand Prize

http://ompl.kavrakilab.org/blog/

Recently, the Open Motion Planning Library (OMPL) won the Grand Prize in the Open Source Software World Challenge. This is a yearly competition organized by the South Korean government and is intended to promote open source software and expand various exchanges among open source software developers all over the world. Last year’s winner was the Point Cloud Library, so we are in good company! This year, 55 teams from 23 countries participated in the international division. The second and third prize winners were:

ompl  http://ompl.kavrakilab.org/blog/

cbirrt   http://users.wpi.edu/~dberenson/docs/cbirrt/cbirrt_8cpp_source.html

smp  http://www.mit.edu/~sertac/smp_doc/index.html     Sampling-based Motion Planning (SMP) Library

comps   Release of Constrained Manipulation Planning Suite(CoMPS)

Hi everyone, I am releasing the Constrained Manipulation Planning
Suite (CoMPS), which consists of three openrave plugins and associated
data files. CoMPS includes an implementation of the Constrained
Bi-directional RRT (CBiRRT), an iterative IK solver, and a set of
useful openrave functions for manipulation. The planning and inverse
kinematics algorithms in this suite are designed for articulated
robots like robotic arms and humanoids. The algorithms in CoMPS allow
robots to perform motion with a variety of simultaneous constraints
including constraints on balance, closed-chain kinematics, and
task-space constraints defined as Task Space Region (TSRs) and TSR
Chains.

CoMPS is implemented in C++ and compiles in linux only. There are also
several examples in python and matlab that show how to interface with
openrave to use the plugins in CoMPS. It has been tested on Ubuntu
10.04 and will probably work with most modern linux distributions.
CoMPS is released under the BSD license.