Currently, commercially available intelligent transport robots that are
capable of carrying up to 90kg of load can cost \5000orevenmore.Thismakesreal−worldexperimentationprohibitivelyexpensiveandlimitstheapplicabilityofsuchsystemstoeverydayhomeorindustrialtasks.Asidefromtheirhighcost,themajorityofcommerciallyavailableplatformsareeitherclosed−source,platform−specificorusedifficult−to−customizehardwareandfirmware.Inthiswork,wepresentalow−cost,open−sourceandmodularalternative,referredtohereinas"open−sourceopenshuttle(O2S)".O2Sutilizesoff−the−shelf(OTS)components,additivemanufacturingtechnologies,aluminiumprofiles,andaconsumerhoverboardwithhigh−torquebrushlessdirectcurrent(BLDC)motors.O2Sisfullycompatiblewiththerobotoperatingsystem(ROS),hasamaximumpayloadof90kg,andcostslessthan1500. Furthermore,
O2S 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 O2S were
validated through real-world and simulation experiments. All the design,
construction and software files are freely available online under the GNU GPL
v3 license at https://doi.org/10.17605/OSF.IO/K83X7. A descriptive video of O2S
can be found at https://osf.io/v8tq2