TU Darmstadt / ULB / TUbiblio

IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response

Rebmann, Adrian ; Rehse, Jana-Rebecca ; Pinter, Mira ; Schnaubelt, Marius ; Daun, Kevin ; Fettke, Peter
eds.: Fahland, Dirk ; Ghidini, Chiara ; Becker, Jörg ; Dumas, Marlon (2020)
IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response.
International Conference on Business Process Management (BPM 2020). virtual Conference (13.-18.09.)
Conference or Workshop Item, Bibliographie

Abstract

Mobile robots like drones or ground vehicles can be a valuable addition to emergency response teams, because they reduce the risk and the burden for human team members. However, the need to manage and coordinate human-robot team operations during ongoing missions adds an additional dimension to an already complex and stressful situation. BPM approaches can help to visualize and document the disaster response processes underlying a mission. In this paper, we show how data from a ground robot's reconnaissance run can be used to provide process assistance to the officers. By automatically recognizing executed activities and structuring them as an ad-hoc process instance, we are able to document the executed process and provide real-time information about the mission status. The resulting mission progress process model can be used for additional services, such as officer training or mission documentation. Our approach is implemented as a prototype and demonstrated using data from an ongoing research project on rescue robotics.

Item Type: Conference or Workshop Item
Erschienen: 2020
Editors: Fahland, Dirk ; Ghidini, Chiara ; Becker, Jörg ; Dumas, Marlon
Creators: Rebmann, Adrian ; Rehse, Jana-Rebecca ; Pinter, Mira ; Schnaubelt, Marius ; Daun, Kevin ; Fettke, Peter
Type of entry: Bibliographie
Title: IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response
Language: English
Date: 2 September 2020
Place of Publication: Seville, Spain
Publisher: Springer
Book Title: Business Process Management Forum
Event Title: International Conference on Business Process Management (BPM 2020)
Event Location: virtual Conference
Event Dates: 13.-18.09.
Abstract:

Mobile robots like drones or ground vehicles can be a valuable addition to emergency response teams, because they reduce the risk and the burden for human team members. However, the need to manage and coordinate human-robot team operations during ongoing missions adds an additional dimension to an already complex and stressful situation. BPM approaches can help to visualize and document the disaster response processes underlying a mission. In this paper, we show how data from a ground robot's reconnaissance run can be used to provide process assistance to the officers. By automatically recognizing executed activities and structuring them as an ad-hoc process instance, we are able to document the executed process and provide real-time information about the mission status. The resulting mission progress process model can be used for additional services, such as officer training or mission documentation. Our approach is implemented as a prototype and demonstrated using data from an ongoing research project on rescue robotics.

Uncontrolled Keywords: Rescue robotics, Process assistance, Internet of Things, Activity recognition, Emergency process management
Additional Information:

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 392)

Divisions: 20 Department of Computer Science
20 Department of Computer Science > Simulation, Systems Optimization and Robotics Group
Date Deposited: 02 Dec 2020 12:53
Last Modified: 02 Dec 2020 12:53
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details