Exploring Computer Vision for Human Awareness in Human-Cobot Interactions

Master thesis (2021)

Authors

E.I. Andrade Borges Electrical Engineering, Mathematics and Computer Science

Contributors

D. Aschenbrenner Mechatronic Design - IDE (mentor)
A.J. van Genderen Computer Engineering - EEMCS (mentor)
J.S.S.M. Wong Computer Engineering - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2021 Elvis Andrade Borges
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Published Date

10-09-2021

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Designing the future of work is a goal that is currently being tackled by both industry and academia. In a scenario where we have Human-Robot hybrid teams, it will be necessary for both human and robots to be aware of each other in their respective tasks. This thesis explores how specific robots (cobots - collaborative robots) can use Computer Vision-based methods for awareness of a human's presence, while using this data to influence the cobot's own behaviour.
After explorations of the Computer Vision field in regards to this problem, and selected approaches in the domain of Human Awareness for Human-Robot Interaction in literature, this thesis presents a proof of concept software/hardware system that, given all the apriori findings, implements simple demos that demonstrate both the feasibility and the suitability of a pure vision-based system for the problem of human awareness. It then analyses the strengths and weaknesses of the proposed system solution, ending with a road-map of recommendations for a following production prototype.

Files

Thesis.pdf
(.pdf | 36.9 Mb)