Shared-Control Ansatz zur Operator-KI Interaktion für die Großbaumaschinensteuerung

Marius Krüger; Birgit Vogel-Heuser; Dominik Hujo; Theresa Prinz; Daniel Pohl; Markus Echtler; Matthias Semel; Cornelia Kerausch; Suhyun Cha; Daniel Waterman

doi:10.51202/9783181024195-559

Shared-Control Ansatz zur Operator-KI Interaktion für die Großbaumaschinensteuerung

Translated title of the contribution: Shared control approach to operator-AI interaction for the control of large construction machines

Marius Krüger, Birgit Vogel-Heuser, Dominik Hujo, Theresa Prinz, Daniel Pohl, Markus Echtler, Matthias Semel, Cornelia Kerausch, Suhyun Cha, Daniel Waterman

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents a control architecture that enables the interaction of humans and AI-based assistance systems for efficient machine control. The operation of large construction machines is considered as an application example. Large construction machines are mainly operated manually. The efficient machine control of large construction machines, such as excavators, cranes or grab machines, is extremely challenging, so that years of experience are often necessary. Artificial intelligence methods can be used to provide assistance functions on control architecture level that collect human experience and machine operating data and make them available to support machine control.

Translated title of the contribution	Shared control approach to operator-AI interaction for the control of large construction machines
Original language	German
Pages (from-to)	559-570
Number of pages	12
Journal	VDI Berichte
Volume	2023
Issue number	2419
DOIs	https://doi.org/10.51202/9783181024195-559
State	Published - 2023

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title = "Shared-Control Ansatz zur Operator-KI Interaktion f{\"u}r die Gro{\ss}baumaschinensteuerung",

abstract = "This paper presents a control architecture that enables the interaction of humans and AI-based assistance systems for efficient machine control. The operation of large construction machines is considered as an application example. Large construction machines are mainly operated manually. The efficient machine control of large construction machines, such as excavators, cranes or grab machines, is extremely challenging, so that years of experience are often necessary. Artificial intelligence methods can be used to provide assistance functions on control architecture level that collect human experience and machine operating data and make them available to support machine control.",

author = "Marius Kr{\"u}ger and Birgit Vogel-Heuser and Dominik Hujo and Theresa Prinz and Daniel Pohl and Markus Echtler and Matthias Semel and Cornelia Kerausch and Suhyun Cha and Daniel Waterman",

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AU - Krüger, Marius

AU - Vogel-Heuser, Birgit

AU - Hujo, Dominik

AU - Prinz, Theresa

AU - Pohl, Daniel

AU - Echtler, Markus

AU - Semel, Matthias

AU - Kerausch, Cornelia

AU - Cha, Suhyun

AU - Waterman, Daniel

PY - 2023

Y1 - 2023

N2 - This paper presents a control architecture that enables the interaction of humans and AI-based assistance systems for efficient machine control. The operation of large construction machines is considered as an application example. Large construction machines are mainly operated manually. The efficient machine control of large construction machines, such as excavators, cranes or grab machines, is extremely challenging, so that years of experience are often necessary. Artificial intelligence methods can be used to provide assistance functions on control architecture level that collect human experience and machine operating data and make them available to support machine control.

AB - This paper presents a control architecture that enables the interaction of humans and AI-based assistance systems for efficient machine control. The operation of large construction machines is considered as an application example. Large construction machines are mainly operated manually. The efficient machine control of large construction machines, such as excavators, cranes or grab machines, is extremely challenging, so that years of experience are often necessary. Artificial intelligence methods can be used to provide assistance functions on control architecture level that collect human experience and machine operating data and make them available to support machine control.

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U2 - 10.51202/9783181024195-559

DO - 10.51202/9783181024195-559

M3 - Artikel

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SN - 0083-5560

VL - 2023

SP - 559

EP - 570

JO - VDI Berichte

JF - VDI Berichte

IS - 2419

ER -

Shared-Control Ansatz zur Operator-KI Interaktion für die Großbaumaschinensteuerung

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