Research Project

SOCIAL PIA: Cooperative Social PIA model for Cybernetics Avatars (Moonshot Research and Development Program)

Type

UPC Project

Start Date

01/04/2023

End Date

30/11/2025

Project Code

JPMJMS2011-85

Project illustration

Staff

Project Description

The SOCIAL-PIA (Cooperative Social PIA, Perception-Intention-Action, model for Cybernetics Avatars), is a project funded by JST (Japan Science and Technology Agency), under the Moonshot Goal 1 “Realization of a society in which human beings can be free from limitations of body, brain, space and time by 2050” (Prof. Norihiro Hagita) and in the Moonshot project “The Realization of an avatar-Symbiotic Society where Everyone can Perform Active Roles without Constraint” (Prof. Hiroshi Ishiguro).

The aim of the project is to develop the cooperation between humans (with the operator and the end-user or bystander) and Cybernetic Avatars (CA) through the PIA paradigm (Perception-Intention-Action). The project proposes to conduct research on human intention and how it relates to the Situation Awareness and Decision-Making PIA processes, with two goals in mind: to assist the operator in handling Interactive/Cooperative tasks, and to improve the autonomous CA interaction/cooperation between CAs and end-users/bystanders. The PIA paradigm will allow to anticipate human action, be pro-active or follow a preestablished plan. The project will be demonstrated in interactive and cooperative telepresence tasks, to study the differences among different cultures: European vs. Japanese.

Project Publications

Journal Publications

  • M. Dalmasso, J.E. Domínguez, I.J. Torres, P. Jiménez, A. Garrell Zulueta and A. Sanfeliu. Shared task representation for human–robot collaborative navigation: The collaborative search case. International Journal of Social Robotics, 16: 145-171, 2024.

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  • J.E. Domínguez, N.A. Rodríguez and A. Sanfeliu. Perception–intention–action cycle in human–robot collaborative tasks: The collaborative lightweight object transportation use-case. International Journal of Social Robotics, 2024, to appear.

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Conference Publications

  • J.E. Domínguez and A. Sanfeliu. Voice Command Recognition for Explicit Intent Elicitation in Collaborative Object Transportation Tasks: a ROS-based Implementation, 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, Boulder, CO, USA, pp. 412–416.

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  • M. Dalmasso, V. Sanchez-Anguix, A. Garrell Zulueta, P. Jiménez and A. Sanfeliu. Exploring Preferences in Human-Robot Navigation Plan Proposal Representation, 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, Boulder, CO, USA, pp. 369-373.

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  • E. Repiso, A. Garrell Zulueta and A. Sanfeliu. Real-life experiment metrics for evaluating human-robot collaborative navigation tasks, 32nd IEEE International Symposium on Robot and Human Interactive Communication, 2023, Busan, Korea, pp. 660-667.

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  • O. Gil and A. Sanfeliu. Human motion trajectory prediction using the Social Force Model for real-time and low computational cost applications, 6th Iberian Robotics Conference, 2023, Portugal, pp. 1-12, Springer, to appear.

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  • J.E. Domínguez and A. Sanfeliu. Inference vs. explicitness. Do we really need the perfect predictor? The human-robot collaborative object transportation case, 32nd IEEE International Symposium on Robot and Human Interactive Communication, 2023, Busan, Korea, pp. 1866-1871.

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  • J.E. Domínguez and A. Sanfeliu. Improving human-robot interaction effectiveness in human-robot collaborative object transportation using force prediction, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2023, Detroit, MI, USA, pp. 7839-7845.

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  • O. Gil and A. Sanfeliu. Human motion trajectory prediction using the Social Force Model for real-time and low computational cost applications, 6th Iberian Robotics Conference, 2023, Portugal, pp. 1-12, Springer, to appear.

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