Decision, learning and social interaction
Credits: © JB Mouret – Inria
Coordinator
Serena Ivaldi, Inria research director at Lorraine Research Laboratory in Computer Science and its Applications (LORIA – CNRS/University of Lorraine)
The overarching scientific challenge of our project is to lay the foundations of new society-centered decision, learning and interaction algorithms. We identified 4 key challenges that will be the core scientific development of this project: anticipation and human prediction, multimodal interaction, learning during interactions, and trust.
Our approach to tackling these challenges is to design and conduct joint observational studies in the field, by robotics and social sciences experts. The joint analysis of the field studies will impact the design of new theories, models, and algorithms, considering the human and societal aspects of these challenges. In the first part of the project, the consortium will focus on mobile manipulators, using platforms that are readily available in the consortium to conduct experiments with humans in public and workplaces. In the second part of the project, the consortium will expand its area of investigation on wearable robots, with a higher degree of embodiment and physical interaction.
The aim is to inform the development of the platforms in PI1, PI2 and PI3 as well as identify bidirectional links with AS1, AS2 and AS4.
Keywords: Human-robot interaction, artificial intelligence, machine learning, cognitive science, neuroscience, trust, adaptation, field studies
Objectives
To understand whether a highly intelligent robot can find its place in society without creating mistrust and anxiety, or whether it is preferable for it to be simple and accessible to use for the general public and equipped with a language adapted to end users, taking into account the socio-cultural aspects of France.
To verify whether organic robots physically assisting humans are likely to be a danger and have physiological and psychological consequences in their learning process.
Consortium
Inria
CNRS
University of Vincennes- Saint-Denis
Sorbonne University
CEA
University Lyon 2
Establishment of the consortium
