TERESA: a socially intelligent semi-autonomous telepresence system

Kyriacos Shiarlis; Joao Messias; Maarten van Someren; Shimon Whiteson; Jaebok Kim; Jered Hendrik Vroon; Gwenn Englebienne; Khiet Phuong Truong; Noé Pérez-Higueras; Ignacio Pérez-Hurtado; Rafael Ramon-Vigo; Fernando Caballero; Luis Merino; Jie Shen; Stavros Petridis; Maja Pantic; Lasse Hedman; Marten Scherlund; Raphaël Koster; Hervé Michel

TERESA: a socially intelligent semi-autonomous telepresence system

Kyriacos Shiarlis, Joao Messias, Maarten van Someren, Shimon Whiteson, Jaebok Kim, Jered Hendrik Vroon, Gwenn Englebienne, Khiet Phuong Truong, Noé Pérez-Higueras, Ignacio Pérez-Hurtado, Rafael Ramon-Vigo, Fernando Caballero, Luis Merino, Jie Shen, Stavros Petridis, Maja Pantic, Lasse Hedman, Marten Scherlund, Raphaël Koster, Hervé Michel

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Abstract

TERESA is a socially intelligent semi-autonomous telepresence system that is currently being developed as part of an FP7-STREP project funded by the European Union. The ultimate goal of the project is to deploy this system in an elderly day centre to allow elderly people to participate in social events even when they are unable to travel to the centre. In this paper, we present an overview of our progress on TERESA. We discuss the most significant scientific and technical challenges including: understanding and automatically recognizing social behaviour; defining social norms for the interaction between a telepresence robot and its users; navigating the environment while taking into account social features and constraints; and learning to estimate the social impact of the robot’s actions from multiple sources of feedback. We report on our current progress on each of these challenges, as well as our plans for future work.

Original language	English
Pages	-
Number of pages	6
Publication status	Published - 26 May 2015
Event	Workshop on Machine Learning for Social Robotics 2015 - Seattle, United States Duration: 26 May 2015 → 26 May 2015

Workshop

Workshop	Workshop on Machine Learning for Social Robotics 2015
Country/Territory	United States
City	Seattle
Period	26/05/15 → 26/05/15

Keywords

EC Grant Agreement nr.: FP7-ICT-2013-10
EWI-26143
IR-96985
METIS-312670
EC Grant Agreement nr.: FP7/611153

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https://staff.fnwi.uva.nl/s.a.whiteson/Shimon_Whiteson/ICRA_files/teresa_icra15ws-crc.pdf

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Shiarlis, K., Messias, J., van Someren, M., Whiteson, S., Kim, J., Vroon, J. H., Englebienne, G., Truong, K. P., Pérez-Higueras, N., Pérez-Hurtado, I., Ramon-Vigo, R., Caballero, F., Merino, L., Shen, J., Petridis, S., Pantic, M., Hedman, L., Scherlund, M., Koster, R., & Michel, H. (2015). TERESA: a socially intelligent semi-autonomous telepresence system. -. Paper presented at Workshop on Machine Learning for Social Robotics 2015, Seattle, Washington, United States. https://staff.fnwi.uva.nl/s.a.whiteson/Shimon_Whiteson/ICRA_files/teresa_icra15ws-crc.pdf

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abstract = "TERESA is a socially intelligent semi-autonomous telepresence system that is currently being developed as part of an FP7-STREP project funded by the European Union. The ultimate goal of the project is to deploy this system in an elderly day centre to allow elderly people to participate in social events even when they are unable to travel to the centre. In this paper, we present an overview of our progress on TERESA. We discuss the most significant scientific and technical challenges including: understanding and automatically recognizing social behaviour; defining social norms for the interaction between a telepresence robot and its users; navigating the environment while taking into account social features and constraints; and learning to estimate the social impact of the robot{\textquoteright}s actions from multiple sources of feedback. We report on our current progress on each of these challenges, as well as our plans for future work.",

keywords = "EC Grant Agreement nr.: FP7-ICT-2013-10, EWI-26143, IR-96985, METIS-312670, EC Grant Agreement nr.: FP7/611153",

author = "Kyriacos Shiarlis and Joao Messias and {van Someren}, Maarten and Shimon Whiteson and Jaebok Kim and Vroon, {Jered Hendrik} and Gwenn Englebienne and Truong, {Khiet Phuong} and No{\'e} P{\'e}rez-Higueras and Ignacio P{\'e}rez-Hurtado and Rafael Ramon-Vigo and Fernando Caballero and Luis Merino and Jie Shen and Stavros Petridis and Maja Pantic and Lasse Hedman and Marten Scherlund and Rapha{\"e}l Koster and Herv{\'e} Michel",

note = "eemcs-eprint-26143 ; Workshop on Machine Learning for Social Robotics 2015 ; Conference date: 26-05-2015 Through 26-05-2015",

year = "2015",

month = may,

day = "26",

language = "English",

pages = "--",

}

Shiarlis, K, Messias, J, van Someren, M, Whiteson, S, Kim, J, Vroon, JH, Englebienne, G , Truong, KP, Pérez-Higueras, N, Pérez-Hurtado, I, Ramon-Vigo, R, Caballero, F, Merino, L, Shen, J, Petridis, S, Pantic, M, Hedman, L, Scherlund, M, Koster, R & Michel, H 2015, 'TERESA: a socially intelligent semi-autonomous telepresence system', Paper presented at Workshop on Machine Learning for Social Robotics 2015, Seattle, United States, 26/05/15 - 26/05/15 pp. -. <https://staff.fnwi.uva.nl/s.a.whiteson/Shimon_Whiteson/ICRA_files/teresa_icra15ws-crc.pdf>

TY - CONF

T1 - TERESA: a socially intelligent semi-autonomous telepresence system

AU - Shiarlis, Kyriacos

AU - Messias, Joao

AU - van Someren, Maarten

AU - Whiteson, Shimon

AU - Kim, Jaebok

AU - Vroon, Jered Hendrik

AU - Englebienne, Gwenn

AU - Truong, Khiet Phuong

AU - Pérez-Higueras, Noé

AU - Pérez-Hurtado, Ignacio

AU - Ramon-Vigo, Rafael

AU - Caballero, Fernando

AU - Merino, Luis

AU - Shen, Jie

AU - Petridis, Stavros

AU - Pantic, Maja

AU - Hedman, Lasse

AU - Scherlund, Marten

AU - Koster, Raphaël

AU - Michel, Hervé

N1 - eemcs-eprint-26143

PY - 2015/5/26

Y1 - 2015/5/26

N2 - TERESA is a socially intelligent semi-autonomous telepresence system that is currently being developed as part of an FP7-STREP project funded by the European Union. The ultimate goal of the project is to deploy this system in an elderly day centre to allow elderly people to participate in social events even when they are unable to travel to the centre. In this paper, we present an overview of our progress on TERESA. We discuss the most significant scientific and technical challenges including: understanding and automatically recognizing social behaviour; defining social norms for the interaction between a telepresence robot and its users; navigating the environment while taking into account social features and constraints; and learning to estimate the social impact of the robot’s actions from multiple sources of feedback. We report on our current progress on each of these challenges, as well as our plans for future work.

AB - TERESA is a socially intelligent semi-autonomous telepresence system that is currently being developed as part of an FP7-STREP project funded by the European Union. The ultimate goal of the project is to deploy this system in an elderly day centre to allow elderly people to participate in social events even when they are unable to travel to the centre. In this paper, we present an overview of our progress on TERESA. We discuss the most significant scientific and technical challenges including: understanding and automatically recognizing social behaviour; defining social norms for the interaction between a telepresence robot and its users; navigating the environment while taking into account social features and constraints; and learning to estimate the social impact of the robot’s actions from multiple sources of feedback. We report on our current progress on each of these challenges, as well as our plans for future work.

KW - EC Grant Agreement nr.: FP7-ICT-2013-10

KW - EWI-26143

KW - IR-96985

KW - METIS-312670

KW - EC Grant Agreement nr.: FP7/611153

M3 - Paper

SP - -

T2 - Workshop on Machine Learning for Social Robotics 2015

Y2 - 26 May 2015 through 26 May 2015

ER -

TERESA: a socially intelligent semi-autonomous telepresence system

Abstract

Workshop

Keywords

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