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Experimental Characterisation of Tool Hardness Evolution Under Consideration of Process Relevant Cyclic Thermal and Mechanical Loading During Industrial Forging Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Towards Adaptive System Behavior and Learning Processes for Active Exoskeletons

Authors : B. Otten, N. Hoffmann, R. Weidner

Published in: Production at the leading edge of technology

Publisher: Springer Berlin Heidelberg

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Abstract

Industrial workers still face work-related musculoskeletal disorders daily and therefore physical support systems like exoskeletons are being developed. Making these wearable robots adaptable to different tasks and users in terms of its support characteristics is expected to generate greater performance and broader acceptance. By analyzing relevant elements of joint tasks in groups of humans and the environment exoskeletons are typically being used in, this paper derives the need for a framework allowing for adaption of the exoskeleton to the task, but also predictability for the user of the exoskeleton. A situation aware gain-scheduling controller with internal state feedback to the user is proposed as a means for adaption and predictability.

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Metadata
Title
Towards Adaptive System Behavior and Learning Processes for Active Exoskeletons
Authors
B. Otten
N. Hoffmann
R. Weidner
Copyright Year
2021
Publisher
Springer Berlin Heidelberg
Book
Production at the leading edge of technology

Print ISBN: 978-3-662-62137-0

Electronic ISBN: 978-3-662-62138-7

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-662-62138-7_48

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