4 Works

TREE Jahresbericht 2018

Für das Institut war das Jahr 2018 geprägt von neuen Ideen, Kolleg*innen und Projekten. Wir freuen uns sehr, dass unsere Tätigkeit innerhalb und außerhalb der Hochschule Bonn-Rhein-Sieg (H-BRS) anerkannt und gewürdigt wird.

Interactive Object Detection

Priyanka Subramanya Vokuda
The success of state-of-the-art object detection methods depend heavily on the availability of a large amount of annotated image data. The raw image data available from various sources are abundant but non-annotated. Annotating image data is often costly, time-consuming or needs expert help. In this work, a new paradigm of learning called Active Learning is explored which uses user interaction to obtain annotations for a subset of the dataset. The goal of active learning is...

Comparison of multi-robot task allocation algorithms

Ángela Patricia Enríquez Gómez
Multi-robot systems (MRS) are capable of performing a set of tasks by dividing them among the robots in the fleet. One of the challenges of working with multirobot systems is deciding which robot should execute each task. Multi-robot task allocation (MRTA) algorithms address this problem by explicitly assigning tasks to robots with the goal of maximizing the overall performance of the system. The indoor transportation of goods is a practical application of multi-robot systems in...

Comparative Analysis of Techniques for Spatio-Temporal World Modeling

Ethan Oswald Massey
Currently, a variety of methods exist for creating different types of spatio-temporal world models. Despite the numerous methods for this type of modeling, there exists no methodology for comparing the different approaches or their suitability for a given application e.g. logistics robots. In order to establish a means for comparing and selecting the best-fitting spatio-temporal world modeling technique, a methodology and standard set of criteria must be established. To that end, state-of-the-art methods for this...

Registration Year

  • 2019
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Resource Types

  • Report
    4

Affiliations

  • Bonn-Rhein-Sieg University of Applied Sciences
    4