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A Multicopter Design Software Tool for Automated Generation of Simulation and Visualization Models

dc.contributor.authorShaqura, Mohammad
dc.contributor.authorShamma, Jeff S.
dc.date.accessioned2019-05-21T13:17:54Z
dc.date.available2019-05-21T13:17:54Z
dc.date.issued2019-04-18
dc.identifier.citationShaqura M, Shamma JS (2019) A Multicopter Design Software Tool for Automated Generation of Simulation and Visualization Models. Lecture Notes in Electrical Engineering: 451–474. Available: http://dx.doi.org/10.1007/978-3-030-11292-9_23.
dc.identifier.issn1876-1100
dc.identifier.issn1876-1119
dc.identifier.doi10.1007/978-3-030-11292-9_23
dc.identifier.urihttp://hdl.handle.net/10754/653067
dc.description.abstractMulticoptor unmanned aerial vehicles (UAVs) are popular robotics platforms in various research and applications fields. Research in robotics, control, estimation and computer vision relies heavily on open-source software and hardware to build custom UAV. This is motivated by lower cost of material and rapid development desire. The presented tool automates the task of obtaining realistic models for simulation and visualization of multicoptors using state-of-the-art Computer Aided Design engineering tools (CAD). Users interact with the software through a desktop application that offers interface to CAD tools, hardware database and simulation files generation. Custom models can be generated for three popular multirotor simulators. Modeling parameters accuracy has been validated using data of IRIS+ quadcopter model.
dc.publisherSpringer Nature
dc.relation.urlhttp://link.springer.com/chapter/10.1007/978-3-030-11292-9_23
dc.subjectAerial robots
dc.subjectUAV simulation
dc.subjectSystem ID
dc.subjectSolidWorks API
dc.subjectDynamic assembly
dc.subjectFlight control
dc.subjectRobot visualization
dc.titleA Multicopter Design Software Tool for Automated Generation of Simulation and Visualization Models
dc.typeConference Paper
dc.contributor.departmentCenter of Excellence for NEOM Research
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentEntrepreneurship Center
dc.contributor.departmentMechanical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentRISC Laboratory
dc.identifier.journalInformatics in Control, Automation and Robotics
dc.conference.date2017-07-26 to 2017-07-28
dc.conference.name14th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2017
dc.conference.locationMadrid, ESP
kaust.personShaqura, Mohammad
kaust.personShamma, Jeff S.
dc.date.published-online2019-04-18
dc.date.published-print2020


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