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Utveckling av intelligens för en robotplattform AIDA
Linköping University, Department of Computer and Information Science.
Linköping University, Department of Computer and Information Science.
Linköping University, Department of Computer and Information Science.
Linköping University, Department of Computer and Information Science.
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2022 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Developing intelligence for a robot platform AIDA (English)
Abstract [sv]

Rapporten beskriver utvecklingsarbetet och resultatet från utvecklingen av en robotplattform vid namn AIDA (AI Design Assistant), som utvecklades åt Institutionen för datavetenskap vid Linköpings universitet. Plattformen består av en robotarm som utgörs av sex stycken servomotorer, som är anslutna till en enkortsdator. En Android-surfplatta sitter integrerad på robotarmen och har en applikation installerad som utgör användargränssnittet. Tre huvudsakliga funktioner för plattformen utvecklades. Dessa funktioner är objektigenkänning, objektspårning och taligenkänning. Objektigenkänningen kan klassificera fyra olika fruktsorter, objektspårningen kan spåra objekt och följa dem med robotarmen genom inverskinematik, och taligenkänningen kan transkribera tal till text och svara på kommandon. Utifrån resultatet och diskussionen härleds slutsatser över fyra frågeställningar relaterade till utvecklingsarbetet. Projektet utfördes som en del av kursen TDDD96 Kandidatprojekt i programvaruutveckling, och varje projektmedlem har även skrivit ett individuellt bidrag till rapporten som behandlar områden kopplade till projektarbetet.

Abstract [en]

This report describes the development process and the resulting product from the development of a robot platform named AIDA (AI Design Assistant), that was developed on a request from the Department of Computer and Information Science at Linköping University. The platform consists of a robot arm that is made up by six servo motors connected to a single-board computer. An Android tablet is attached to the robot arm and has an application installed which constitutes the user interface. Three main functions were developed for the platform. These functions constitute object recognition, object tracking, and speech recognition. The object recognition module can classify four different types of fruit, the object tracking module can track objects and follow them by moving the robot arm using inverse kinematics, and the speech recognition module can transcribe speech to text and respond to  audible commands. Conclusions over four questions related to the development of the product are derived from the results and discussion chapters of the report. The project was conducted as a part of the course TDDD96 Software Engineering – Bachelor Project, and each project member has produced an individual contribution to the report which covers subjects related to the project.

Place, publisher, year, edition, pages
2022. , p. 119
Keywords [en]
AI, Artificial intelligence, Machine learning, Object recognition, Object tracking, Speech recognition, Convolutional neural networks, Deep learning, Hyperparameters, Inverse kinematics, Image classification, Optimization
Keywords [sv]
AI, Artificiell intelligens, Maskininlärning, Objektigenkänning, Objektspårning, Taligenkänning, Neurala faltningsnätverk, Djupinlärning, Hyperparametrar, Inverskinematik, Bildklassificering, Optimering
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:liu:diva-186070ISRN: LIU-IDA/LITH-EX-G--22/012--SEOAI: oai:DiVA.org:liu-186070DiVA, id: diva2:1671704
Subject / course
Computer Engineering
Presentation
2022-05-18, Hus C, C4, Linköpings universitet, Linköping, 16:35 (Swedish)
Supervisors
Examiners
Available from: 2022-06-17 Created: 2022-06-17 Last updated: 2022-06-17Bibliographically approved

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PUM12-kandidatarbete-2022(8303 kB)466 downloads
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