Currently, commercially available intelligent transport robots that are
capable of carrying up to 90kg of load can cost \5,000orevenmore.Thismakesreal−worldexperimentationprohibitivelyexpensiveandlimitstheapplicabilityofsuchsystemstoeverydayhomeorindustrialtasks.Asidefromtheirhighcost,themajorityofcommerciallyavailableplatformsareeitherclosed−source,platform−specificorusedifficult−to−customizehardwareandfirmware.Inthiswork,wepresentalow−cost,open−sourceandmodularalternative,referredtohereinas"ROS−basedOpen−sourceMobileRobot(ROMR)".ROMRutilizesoff−the−shelf(OTS)components,additivemanufacturingtechnologies,aluminiumprofiles,andaconsumerhoverboardwithhigh−torquebrushlessdirectcurrent(BLDC)motors.ROMR is fully compatible
with the robot operating system (ROS), has a maximum payload of 90kg, and costs
less than \1500. Furthermore, ROMR offers a simple yet robust framework for
contextualizing simultaneous localization and mapping (SLAM) algorithms, an
essential prerequisite for autonomous robot navigation. The robustness and
performance of the ROMR were validated through real-world and simulation
experiments. All the design, construction and software files are freely
available online under the GNU GPL v3 licence at
https://doi.org/10.17605/OSF.IO/K83X7. A descriptive video of ROMR can be
found at https://osf.io/ku8ag.