Author

A. G. Kurbis

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:imaging· 3 Research Focus:benchmarking· 1 Organism:human· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

A. Mihailidis· 3 shared B. Laschowski· 3 shared B. Ivanyuk-Skulskiy· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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3 shared papersBioengineering

A. Mihailidis

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3 papers

Recent·Most cited

Sequential image classification of human-robot walking environments using temporal neural networks

B. Ivanyuk-Skulskiy, A. G. Kurbis, A. Mihailidis, B. Laschowski

The paper compares static and sequential image classification of walking environments using temporal neural networks, finding that 3D models outperform 2D ones but have higher computational demands.

bioRxiv · Nov 10, 2023 · PreprintBioengineering

Development and Mobile Deployment of a Stair Recognition System for Human-Robot Locomotion

A. G. Kurbis, A. Mihailidis, B. Laschowski

The paper develops and deploys a lightweight deep learning model for real-time stair recognition on mobile devices with high accuracy and low latency.

bioRxiv · Apr 25, 2023Bioengineering

Stair Recognition for Robotic Exoskeleton Control using Computer Vision and Deep Learning

A. G. Kurbis, B. Laschowski, A. Mihailidis

The paper develops a deep learning system for stair recognition in robotic exoskeleton control, achieving 98.4% classification accuracy using a new dataset called StairNet.

bioRxiv · Apr 11, 2022 · PreprintBioengineering