The
same Star Student Project paradigms
are also applied on a dual-core central processing unit, where they are renamed
or and and implementations. In the Open Motion-Planning Library (OMPL), the AND
paradigm is implemented via multithreading, and thus, for shared memory. To the
best of our Star Student Project knowledge,
there has been only one attempt to develop a parallel version of RRT on distributed-memory
architecture. In, the construction of the tree is distributed among several autonomous
agents, using a message passing model. However, no explanation is given on how
the computation is distributed, or how the tree is reconstructed from the parts
built by the agents.