Data-driven decision making related to future service robotics

Tuija Rantala; Taru Hakanen; Minna Salo

Data-driven decision making related to future service robotics

Tuija Rantala^*
, Taru Hakanen
, Minna Salo

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific

Abstract

The future of service robotics is changing rapidly and there are signs of service robotic operators who may want to sell a variety of robot-enabled services for companies on industrial sites and real estate. This paper studies data-driven decision making related to future service robotics. We explore the theme by presenting findings from 13 recent interviews from seven robotics, software, and service companies and three common company workshops. As a result, the paper presents the actors involved in the future service robotics ecosystem from decision making perspectives as well as illustrations and tools for data-driven decision making related to future service robotics.

Original language	English
Title of host publication	Proceedings of the 25th Excellence in Services International Conference
Publisher	University of Verona
Number of pages	9
ISBN (Electronic)	9791221015904
Publication status	Published - 26 Aug 2022
MoE publication type	B3 Non-refereed article in conference proceedings
Event	25th Excellence in Services International Conference, EISIC 2022 - University of Upssala, Gotland Campus, Visby, Sweden Duration: 25 Aug 2022 → 26 Aug 2022 https://sites.les.univr.it/eisic/index.php/25th-eisic-visby-august-25-26-2022/ (Proceedings)

Conference

Conference	25th Excellence in Services International Conference, EISIC 2022
Country/Territory	Sweden
City	Visby
Period	25/08/22 → 26/08/22
Internet address	https://sites.les.univr.it/eisic/index.php/25th-eisic-visby-august-25-26-2022/ (Proceedings)

Funding

This study was conducted as a part of the “Multi-purpose Service Robotic as Operator Business” (MURO)project funded by Business Finland, VTT, and project partners.

Keywords

data-based decision making
future robotics

Access to Document

https://sites.les.univr.it/eisic/wp-content/uploads/2022/10/Rantala-Hakanen-Salo.pdf

MURO: Multi-purpose Service Robotics as Operator Business
Hakanen, T. (Manager), Kemppi, P. (Participant), Salo, M. (Participant), Rantala, T. (Participant), Uimonen, M. (Participant), Karjalainen, J. (Participant), Tikka, P. (Participant), Halbach, E. (Participant), Aromaa, S. (Participant), Lammi, H. (Participant), Hakkarainen, M. (Participant), Heikkilä, T. (Participant), Hentula, M. (Participant), Honkamaa, P. (Participant), Kokkonen, A. (Participant), Malm, T. (Participant), Montonen, J. (Participant) & Nuutinen, M. (Participant)
1/03/21 → 30/03/23
Project: Business Finland project

Cite this

@inproceedings{ce3d5d404c4a453b96d043b47b053475,

title = "Data-driven decision making related to future service robotics",

abstract = "The future of service robotics is changing rapidly and there are signs of service robotic operators who may want to sell a variety of robot-enabled services for companies on industrial sites and real estate. This paper studies data-driven decision making related to future service robotics. We explore the theme by presenting findings from 13 recent interviews from seven robotics, software, and service companies and three common company workshops. As a result, the paper presents the actors involved in the future service robotics ecosystem from decision making perspectives as well as illustrations and tools for data-driven decision making related to future service robotics.",

keywords = "data-based decision making, future robotics",

author = "Tuija Rantala and Taru Hakanen and Minna Salo",

note = "Only abstract peer-reviewed. {"}All submitted papers will be published with an ISBN number in the Conference Proceedings Book, freely available on the Conference website.{"} ; 25th Excellence in Services International Conference, EISIC 2022 ; Conference date: 25-08-2022 Through 26-08-2022",

year = "2022",

month = aug,

day = "26",

language = "English",

booktitle = "Proceedings of the 25th Excellence in Services International Conference",

publisher = "University of Verona",

address = "Italy",

url = "https://sites.les.univr.it/eisic/index.php/25th-eisic-visby-august-25-26-2022/",

}

Rantala, T, Hakanen, T & Salo, M 2022, Data-driven decision making related to future service robotics. in Proceedings of the 25th Excellence in Services International Conference. University of Verona, 25th Excellence in Services International Conference, EISIC 2022, Visby, Sweden, 25/08/22. <https://sites.les.univr.it/eisic/wp-content/uploads/2022/10/Rantala-Hakanen-Salo.pdf>

TY - GEN

T1 - Data-driven decision making related to future service robotics

AU - Rantala, Tuija

AU - Hakanen, Taru

AU - Salo, Minna

N1 - Only abstract peer-reviewed. "All submitted papers will be published with an ISBN number in the Conference Proceedings Book, freely available on the Conference website."

PY - 2022/8/26

Y1 - 2022/8/26

N2 - The future of service robotics is changing rapidly and there are signs of service robotic operators who may want to sell a variety of robot-enabled services for companies on industrial sites and real estate. This paper studies data-driven decision making related to future service robotics. We explore the theme by presenting findings from 13 recent interviews from seven robotics, software, and service companies and three common company workshops. As a result, the paper presents the actors involved in the future service robotics ecosystem from decision making perspectives as well as illustrations and tools for data-driven decision making related to future service robotics.

AB - The future of service robotics is changing rapidly and there are signs of service robotic operators who may want to sell a variety of robot-enabled services for companies on industrial sites and real estate. This paper studies data-driven decision making related to future service robotics. We explore the theme by presenting findings from 13 recent interviews from seven robotics, software, and service companies and three common company workshops. As a result, the paper presents the actors involved in the future service robotics ecosystem from decision making perspectives as well as illustrations and tools for data-driven decision making related to future service robotics.

KW - data-based decision making

KW - future robotics

M3 - Conference article in proceedings

BT - Proceedings of the 25th Excellence in Services International Conference

PB - University of Verona

T2 - 25th Excellence in Services International Conference, EISIC 2022

Y2 - 25 August 2022 through 26 August 2022

ER -

Data-driven decision making related to future service robotics

Abstract

Conference

Funding

Keywords

Access to Document

Fingerprint

Projects

MURO: Multi-purpose Service Robotics as Operator Business

Cite this