<p>Autonomous
Mobile Robots (AMR) and IoT (Internet of Things) devices have substantial
potential to increase productivity in Small and Medium Enterprises (SME).
However, factors such as high costs involved in setting up and maintaining AMR
automation and deficit of programming expertise among factory workers render
AMR automation uneconomical for SMEs. </p><p><br></p><p></p><p>Visual
Programming can be used in the spatial context of the operating environment to
enable closer mental models at the right level of abstraction for novice
programmers. In this thesis, we develop a system for deploying a Spatially
Situated Visual Language (SSVL) for programming robot-IoT workflows. To address
the challenges of interoperability, scalability, and versatility of industrial
machinery, we develop a novel communication protocol based on the Resource
Description Framework (RDF). Our communication protocol forms the basis of a
system architecture that integrates SSVL, IoT devices, and mobile robots that
enables factory workers to program AMR workflows. We design, implement and
validate the system and the architecture following the systems engineering
approach. To evaluate the system developed in an industrial context, we deploy
the system to author AMR workflows for material handling application for an SME
painting factory.</p><p></p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/8307452 |
| Date | 12 October 2021 |
| Creators | Pawan Sudhindra Rao (6866039) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/SYSTEM_DESIGN_AND_DEVELOPMENT_FOR_VISUAL_PROGRAMMING_OF_ROBOT-IOT_WORKFLOWS/8307452 |
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