Search Results for author: Martin Steinert

Found 3 papers, 1 papers with code

On Applying Machine Learning/Object Detection Models for Analysing Digitally Captured Physical Prototypes from Engineering Design Projects

no code implementations7 May 2019 Jorgen F. Erichsen, Sampsa Kohtala, Martin Steinert, Torgeir Welo

The authors retrained two pre-trained object detection models from two known frameworks, the TensorFlow Object Detection API and Darknet, using custom image sets of images of physical prototypes.

Object object-detection +1

Digitally Capturing Physical Prototypes During Early-Stage Engineering Design Projects for Initial Analysis of Project Output and Progression

no code implementations26 Apr 2019 Jorgen F. Erichsen, Heikki Sjöman, Martin Steinert, Torgeir Welo

Aiming to help researchers capture output from the early stages of engineering design projects, this article presents a new research tool for digitally capturing physical prototypes.

Development and verification of a simulation for leveraging results of a human subjects programming experiment

1 code implementation25 Mar 2019 Achim Gerstenberg, Martin Steinert

Quantitatively evaluating and comparing the performance of robotic solutions that are designed to work under a variety of conditions is inherently challenging because they need to be evaluated under numerous precisely repeatable conditions Manually acquiring this data is time consuming and imprecise.

Robotics

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