  In the rapidly evolving and maturing field of robotics, computer simulation
has become an invaluable tool in the design process. Webots, a state-of-the-art
robotics simulator, is often the software of choice for robotics research. Even
so, Webots simulations are often run on personal and lab computers. For
projects that would benefit from an aggregated output dataset from thousands of
simulation runs, there is no standard recourse; this project sets out to
mitigate this by developing a formalized parallel pipeline for running
sequences of Webots simulations on powerful HPC resources. Such a pipeline
would allow researchers to generate massive datasets from their simulations,
opening the door for potential machine learning applications and decision tool
development. We have developed a pipeline capable of running Webots simulations
both headlessly and in GUI-enabled mode over an SSH X11 server, with simulation
execution occurring remotely on HPC compute nodes. Additionally, simulations
can be run in sequence, with a batch job being distributed across an arbitrary
number of computing nodes and each node having multiple instances running in
parallel. The implemented distribution and parallelization are extremely
effective, with a 100\% simulation completion rate after 12 hours of runs.
Overall, this pipeline is very capable and can be used to extend existing
projects or serve as a platform for new robotics simulation endeavors.
