Publications
2019
Chalvatzaki, Georgia; Koutras, Petros; Hadfield, Jack; Papageorgiou, Xanthi; Tzafestas, Costas; Maragos, Petros
Lstm-based network for human gait stability prediction in an intelligent robotic rollator Proceedings Article
In: 2019 International Conference on Robotics and Automation (ICRA), pp. 4225–4232, IEEE 2019.
@inproceedings{chalvatzaki2019lstm,
title = {Lstm-based network for human gait stability prediction in an intelligent robotic rollator},
author = { Georgia Chalvatzaki and Petros Koutras and Jack Hadfield and Xanthi Papageorgiou and Costas Tzafestas and Petros Maragos},
year = {2019},
date = {2019-01-01},
booktitle = {2019 International Conference on Robotics and Automation (ICRA)},
pages = {4225--4232},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Papageorgiou, Xanthi; Chalvatzaki, Georgia; Efthimiou, Eleni; Fotinea, Stavroula-Evita; Karavasili, Alexandra; Tzafestas, Costas; Maragos, Petros; Vacalopoulou, Anna; Goulas, Theodoros
User centered HRI design for an intelligent robotic rollator Proceedings Article
In: A Workshop on Mobile Robot Assistants for the Elderly (MoRobAE) in 2019 IEEE International Conference on Robotics and Automation, Montreal, Canada, 2019.
@inproceedings{papageorgiouuser,
title = {User centered HRI design for an intelligent robotic rollator},
author = {Xanthi Papageorgiou and Georgia Chalvatzaki and Eleni Efthimiou and Stavroula-Evita Fotinea and Alexandra Karavasili and Costas Tzafestas and Petros Maragos and Anna Vacalopoulou and Theodoros Goulas},
url = {https://morobae.github.io/papers/morobae_p06m_papageorgiou.pdf},
year = {2019},
date = {2019-00-00},
urldate = {2019-00-00},
booktitle = {A Workshop on Mobile Robot Assistants for the Elderly (MoRobAE) in 2019 IEEE International Conference on Robotics and Automation, Montreal, Canada},
journal = {IEEE International Conference on Robotics and Automation, Montreal, Canada},
abstract = {A common problem for the elderly population with mobility impairment is the difficulties in performing Activities of Daily Living (ADLs), that consequently leads to restrictions and the degradation of the living standards of the elders. When designing a user-centered assistive device for mobility constrained people, the variable spectrum of disabilities is a factor that should affect the design process, since people with different impairments have different needs to be covered by the device, thus an adaptive behavior of those systems to real user needs is necessary. In this paper, we present the methodological principles and technologies, for the designing of the robotic rollator platform Human Robot Interaction (HRI) environment. The reported work builds upon experience gained from previous engagement with development of the multimodal HRI communication model of an assistive robotic rollator and its end-user evaluation, leading to our enhanced methodology for identifying and prioritizing user needs as applied in our current HRI design approach. Emphasis is placed on adopting multimodal communication patterns from actual human-human interaction in the context of mobility rehabilitation, which may enrich human-robot communication by increasing the naturalness in interaction from the side of the robotic device by adding more “human” characteristics both in respect to understanding and reaction capabilities of the robot.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
A common problem for the elderly population with mobility impairment is the difficulties in performing Activities of Daily Living (ADLs), that consequently leads to restrictions and the degradation of the living standards of the elders. When designing a user-centered assistive device for mobility constrained people, the variable spectrum of disabilities is a factor that should affect the design process, since people with different impairments have different needs to be covered by the device, thus an adaptive behavior of those systems to real user needs is necessary. In this paper, we present the methodological principles and technologies, for the designing of the robotic rollator platform Human Robot Interaction (HRI) environment. The reported work builds upon experience gained from previous engagement with development of the multimodal HRI communication model of an assistive robotic rollator and its end-user evaluation, leading to our enhanced methodology for identifying and prioritizing user needs as applied in our current HRI design approach. Emphasis is placed on adopting multimodal communication patterns from actual human-human interaction in the context of mobility rehabilitation, which may enrich human-robot communication by increasing the naturalness in interaction from the side of the robotic device by adding more “human” characteristics both in respect to understanding and reaction capabilities of the robot.
2016
Fotinea, Stavroula-Evita; Efthimiou, Eleni; Goulas, Theodoros; Dimou, Athanasia-Lida; Tzafestas, Costas; Pitsikalis, Vassilis
The mobot human-robot interaction: Showcasing assistive HRI Proceedings Article
In: Proceedings of the 20th Pan-Hellenic Conference on Informatics, pp. 73, ACM 2016.
@inproceedings{fotinea2016mobot,
title = {The mobot human-robot interaction: Showcasing assistive HRI},
author = {Stavroula-Evita Fotinea and Eleni Efthimiou and Theodoros Goulas and Athanasia-Lida Dimou and Costas Tzafestas and Vassilis Pitsikalis},
url = {https://dl.acm.org/doi/10.1145/3003733.3003812},
year = {2016},
date = {2016-01-01},
urldate = {2016-01-01},
booktitle = {Proceedings of the 20th Pan-Hellenic Conference on Informatics},
pages = {73},
organization = {ACM},
abstract = {The MOBOT project has envisioned the development of cognitive robotic assistant prototypes that act proactively, adaptively and interactively with respect to elderly humans with slight walking and cognitive difficulties. To meet the project's goals, a multimodal action recognition system is being developed to monitor, analyse and predict user actions with a high level of accuracy and detail. Here we discuss how the analysis of human behaviour data that have become available through the annotation and study of the project's multimodal-multisensory corpus, have led to the modelling of Human-Robot Communication in order to achieve an effective, natural interaction between users and the assistive robotic platform, intending to show how the project's communication model has been integrated in the robotic platform in order to support a natural multimodal human-robot interaction as verified by systematic end user validation cycles.
},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The MOBOT project has envisioned the development of cognitive robotic assistant prototypes that act proactively, adaptively and interactively with respect to elderly humans with slight walking and cognitive difficulties. To meet the project's goals, a multimodal action recognition system is being developed to monitor, analyse and predict user actions with a high level of accuracy and detail. Here we discuss how the analysis of human behaviour data that have become available through the annotation and study of the project's multimodal-multisensory corpus, have led to the modelling of Human-Robot Communication in order to achieve an effective, natural interaction between users and the assistive robotic platform, intending to show how the project's communication model has been integrated in the robotic platform in order to support a natural multimodal human-robot interaction as verified by systematic end user validation cycles.
Efthimiou, Eleni; Fotinea, Stavroula-Evita; Goulas, Theodoros; Dimou, Athanasia-Lida; Koutsombogera, Maria; Pitsikalis, Vassilis; Maragos, Petros; Tzafestas, Costas
The MOBOT platform – Showcasing Multimodality in Human-Assistive Robot Interaction Proceedings Article
In: Proceedings of the 18th International Conference on Human-Computer Interaction, pp. 382-391, 2016.
@inproceedings{HCII2016,
title = {The MOBOT platform – Showcasing Multimodality in Human-Assistive Robot Interaction},
author = {Eleni Efthimiou and Stavroula-Evita Fotinea and Theodoros Goulas and Athanasia-Lida Dimou and Maria Koutsombogera and Vassilis Pitsikalis and Petros Maragos and Costas Tzafestas},
url = {https://www.researchgate.net/publication/304190606_The_MOBOT_Platform_-_Showcasing_Multimodality_in_Human-Assistive_Robot_Interaction},
year = {2016},
date = {2016-01-01},
urldate = {2016-01-01},
booktitle = {Proceedings of the 18th International Conference on Human-Computer Interaction},
pages = {382-391},
abstract = {Acquisition and annotation of a multimodal-multisensory data set of human-passive rollator-carer interactions have enabled the analysis of related human be-havioural patterns and the definition of the MOBOT human-robot communication model. The MOBOT project has envisioned the development of cognitive robotic assistant prototypes that act proactively, adaptively and interactively with respect to elderly humans with slight walking and cognitive difficulties. To meet the pro-ject’s goals, a multimodal action recognition system is being developed to moni-tor, analyse and predict user actions with a high level of accuracy and detail. In the same framework, the analysis of human behaviour data that have become available through the project’s multimodal-multisensory corpus, have led to the modelling of Human-Robot Communication in order to achieve an effective, nat-ural interaction between users and the assistive robotic platform. Here, we dis-cuss how the project’s communication model has been integrated in the robotic platform in order to support a natural multimodal human-robot interaction},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Acquisition and annotation of a multimodal-multisensory data set of human-passive rollator-carer interactions have enabled the analysis of related human be-havioural patterns and the definition of the MOBOT human-robot communication model. The MOBOT project has envisioned the development of cognitive robotic assistant prototypes that act proactively, adaptively and interactively with respect to elderly humans with slight walking and cognitive difficulties. To meet the pro-ject’s goals, a multimodal action recognition system is being developed to moni-tor, analyse and predict user actions with a high level of accuracy and detail. In the same framework, the analysis of human behaviour data that have become available through the project’s multimodal-multisensory corpus, have led to the modelling of Human-Robot Communication in order to achieve an effective, nat-ural interaction between users and the assistive robotic platform. Here, we dis-cuss how the project’s communication model has been integrated in the robotic platform in order to support a natural multimodal human-robot interaction
2015
Fotinea, Stavroula-Evita; Efthimiou, Eleni; Koutsombogera, Maria; Dimou, Athanasia-Lida; Goulas, Theodoros; Maragos, Petros; Tzafestas, Costas
The MOBOT human-robot communication model Proceedings Article
In: 2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), pp. 201 - 206, IEEE, 2015.
@inproceedings{MOBOT-CogInfo,
title = {The MOBOT human-robot communication model},
author = {Stavroula-Evita Fotinea and Eleni Efthimiou and Maria Koutsombogera and Athanasia-Lida Dimou and Theodoros Goulas and Petros Maragos and Costas Tzafestas},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7390590},
doi = {http://dx.doi.org/10.1109/CogInfoCom.2015.7390590},
year = {2015},
date = {2015-10-01},
urldate = {2015-10-01},
booktitle = {2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)},
pages = {201 - 206},
publisher = {IEEE},
abstract = {This paper reports on work related to the modelling of Human-Robot Communication on the basis of multimodal and multisensory human behaviour analysis. A primary focus in this framework of analysis is the definition of semantics of human actions, i.e. verbal and non-verbal signals, in a specific context with distinct Human-Robot interaction states. These states are captured and represented in terms of communicative behavioural patterns that influence, and in turn are adapted to the interaction flow with the goal to feed a multimodal human-robot communication system. This multimodal HRI model is defined upon, and ensures the usability of a multimodal sensory corpus acquired as a primary source of data retrieval, analysis and testing of mobility assistive robot prototypes.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper reports on work related to the modelling of Human-Robot Communication on the basis of multimodal and multisensory human behaviour analysis. A primary focus in this framework of analysis is the definition of semantics of human actions, i.e. verbal and non-verbal signals, in a specific context with distinct Human-Robot interaction states. These states are captured and represented in terms of communicative behavioural patterns that influence, and in turn are adapted to the interaction flow with the goal to feed a multimodal human-robot communication system. This multimodal HRI model is defined upon, and ensures the usability of a multimodal sensory corpus acquired as a primary source of data retrieval, analysis and testing of mobility assistive robot prototypes.