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SoSe 2025

Good Dog! – Teaching new Tricks to Spot the Robot - Einzelansicht

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Grunddaten
Veranstaltungsart Projekt SWS 10
Veranstaltungsnummer 425110036 Max. Teilnehmer/-innen
Semester SoSe 2025 Zugeordnetes Modul
Erwartete Teilnehmer/-innen
Rhythmus einmalig
Hyperlink  


Zugeordnete Personen
Zugeordnete Personen Zuständigkeit
Koch, Christian, Prof., Dr.-Ing. verantwortlich
Helbing, Ronny , Master of Science
Krischler, Judith
Studiengänge
Abschluss Studiengang Semester Leistungspunkte
M. Sc. Digital Engineering (M.Sc.), PV 19 - 12
M. Sc. Digital Engineering (M.Sc.), PV 2023 - 12
Zuordnung zu Einrichtungen
Fachbereich Medieninformatik
Fakultät Medien
Inhalt
Beschreibung

Explore the potential and limitations of the Boston Dynamics Spot robot in this project. While impressive, Spot's standard configuration presents opportunities for enhancement. Currently, its autonomy depends critically on QR codes, its features are spread across different applications, and collected data isn't readily processed for analysis. This can lead to inefficient, manual workflows and usability issues due to missing features or integration gaps, particularly noticeable in industries like construction.

The goal of this project is to expand Spot's usability and practical capabilities. You'll dive into testing its standard functions with various payloads, identifying challenges and improvement opportunities using basic workflow scenarios. You will examine existing Python examples and then engage in hands-on development, adapting these examples and using trial and error to create a more streamlined, minimal workflow. This project offers a chance to directly address current limitations and make Spot a more integrated and efficient tool.

Bemerkung

Time and place will be announced at the project fair.

Leistungsnachweis

1) Project Report

2) Intermediate Presentation

3) Final Presentation

Zielgruppe

M.Sc. Digital Engineering


Strukturbaum
Die Veranstaltung wurde 4 mal im Vorlesungsverzeichnis SoSe 2025 gefunden:
Master  - - - 1
Bachelor  - - - 2
Project  - - - 3
Project  - - - 4

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