TY - GEN
T1 - Use of human computation for coordinating robotic mobility aids based on user impairments
AU - Saul, Heikki
AU - Hirata, Yasuhisa
AU - Weng, Yueh Hsuan
N1 - Funding Information:
*This work was partially supported by JST [Moonshot R&D][Grant Number JPMJMS2034] 1Heikki Saul is with the Graduate School of Engineering, Tohoku University, Sendai, Japan heikki.saul@gmail.com 2Yasuhisa Hirata is with the Graduate School of Engineering, Tohoku University, Sendai, Japan 3Yueh-Hsuan Weng is with the Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan
Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/8
Y1 - 2021/8/8
N2 - The users impairments are one of the most important factors for how a robotic mobility aid device is used. However, this has not been addressed in existing solutions. In this paper, we propose using information about the users' disabilities and impairments to create a navigation prioritization layer for solving multi-robot navigation situations. To deal with the deep subjectivity inherent to assigning these priorities, we propose using human computation to create a navigation solution that will be aligned with humans' personal value systems, increasing the perceived fairness and trustworthiness of the system. This paper covers the background, methodology, initial experiments and discusses the results, limitations, and future potential of the proposed approach.
AB - The users impairments are one of the most important factors for how a robotic mobility aid device is used. However, this has not been addressed in existing solutions. In this paper, we propose using information about the users' disabilities and impairments to create a navigation prioritization layer for solving multi-robot navigation situations. To deal with the deep subjectivity inherent to assigning these priorities, we propose using human computation to create a navigation solution that will be aligned with humans' personal value systems, increasing the perceived fairness and trustworthiness of the system. This paper covers the background, methodology, initial experiments and discusses the results, limitations, and future potential of the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=85115079440&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85115079440&partnerID=8YFLogxK
U2 - 10.1109/RO-MAN50785.2021.9515468
DO - 10.1109/RO-MAN50785.2021.9515468
M3 - Conference contribution
AN - SCOPUS:85115079440
T3 - 2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021
SP - 858
EP - 864
BT - 2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021
Y2 - 8 August 2021 through 12 August 2021
ER -