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A holistic concept on AI assistance for robot-supported reconnaissance and mitigation of acute radiation hazard situations

Daun, Kevin ; Bark, Frederik ; Tateo, Davide LU orcid ; Peters, Jan ; Heinlein, Johannes ; Wendt, Janine ; Heidemann, Nils ; Kruijff-Korbayova, Ivana ; Kohlbrecher, Stefan and Friedrich, Jens , et al. (2024) 2024 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2024 In IEEE International Symposium on Safety, Security, and Rescue Robotics 2024, SSRR 2024 p.40-45
Abstract

Hazardous situations involving radioactive, chemical, and other dangerous materials pose significant risks to emergency responders. In such situations, robots can support civil forces in reconnaissance and mitigation. However, this requires the development of robotic systems with novel AI-based assistance functions, operation procedures, and raises new ethical and legal questions. To address these topics, we propose a holistic concept covering the aspects of domain-specific requirements, AI-based assistance functions for mapping, navigation, and manipulation, legal and ethical aspects, end-user training, and evaluation. The proposed concept is implemented in two real-world robotics demonstrators and evaluated in multiple complex... (More)

Hazardous situations involving radioactive, chemical, and other dangerous materials pose significant risks to emergency responders. In such situations, robots can support civil forces in reconnaissance and mitigation. However, this requires the development of robotic systems with novel AI-based assistance functions, operation procedures, and raises new ethical and legal questions. To address these topics, we propose a holistic concept covering the aspects of domain-specific requirements, AI-based assistance functions for mapping, navigation, and manipulation, legal and ethical aspects, end-user training, and evaluation. The proposed concept is implemented in two real-world robotics demonstrators and evaluated in multiple complex simulated and real-world environments.

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publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
IEEE International Symposium on Safety, Security, and Rescue Robotics 2024, SSRR 2024
series title
IEEE International Symposium on Safety, Security, and Rescue Robotics 2024, SSRR 2024
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2024 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2024
conference location
New York, United States
conference dates
2024-11-12 - 2024-11-14
external identifiers
  • scopus:85214875473
ISBN
9798331510954
DOI
10.1109/SSRR62954.2024.10770059
language
English
LU publication?
no
id
79126a0d-f9fa-43e5-af03-70f9e4062657
date added to LUP
2025-10-16 14:10:59
date last changed
2025-10-17 16:27:39
@inproceedings{79126a0d-f9fa-43e5-af03-70f9e4062657,
  abstract     = {{<p>Hazardous situations involving radioactive, chemical, and other dangerous materials pose significant risks to emergency responders. In such situations, robots can support civil forces in reconnaissance and mitigation. However, this requires the development of robotic systems with novel AI-based assistance functions, operation procedures, and raises new ethical and legal questions. To address these topics, we propose a holistic concept covering the aspects of domain-specific requirements, AI-based assistance functions for mapping, navigation, and manipulation, legal and ethical aspects, end-user training, and evaluation. The proposed concept is implemented in two real-world robotics demonstrators and evaluated in multiple complex simulated and real-world environments.</p>}},
  author       = {{Daun, Kevin and Bark, Frederik and Tateo, Davide and Peters, Jan and Heinlein, Johannes and Wendt, Janine and Heidemann, Nils and Kruijff-Korbayova, Ivana and Kohlbrecher, Stefan and Friedrich, Jens and Martin, Desiree and Schmidt, Michael W. and Hillerbrand, Rafaela and Von Stryk, Oskar}},
  booktitle    = {{IEEE International Symposium on Safety, Security, and Rescue Robotics 2024, SSRR 2024}},
  isbn         = {{9798331510954}},
  language     = {{eng}},
  pages        = {{40--45}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE International Symposium on Safety, Security, and Rescue Robotics 2024, SSRR 2024}},
  title        = {{A holistic concept on AI assistance for robot-supported reconnaissance and mitigation of acute radiation hazard situations}},
  url          = {{http://dx.doi.org/10.1109/SSRR62954.2024.10770059}},
  doi          = {{10.1109/SSRR62954.2024.10770059}},
  year         = {{2024}},
}