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INSIDE Webpage icon

Collaborators: Francisco S. Melo, Ana Paiva, Pedro Sequeira, Alberto Sardinha, Rui Silva, Carla Guerra
Keywords: Symbiotic interaction, human-robot interaction, ASD




Description

The INSIDE initiative explores symbiotic interactions between humans and robots in joint cooperative activities, and addresses the following key research problems:

 

  • How can robots plan their course of action to coordinate with and accommodate for the co-actions of their human teammates? In particular, is it possible to foresee, at planning time, the possibility of having the robots assist humans in actions that the latter cannot perform single-handedly (due to the complexity of the action or to limitations of the human agent) as well as having the humans assist the robots in those actions that the robots cannot perform on their own (for example, due to perceptual or actuation limitations)?
  • How can task, context and environment information collected from a set of networked sensors (such as cameras and biometric sensors) be exploited to create more natural and engaging interactions between humans and robots involved in a joint cooperative activity in a physical environment?

 

INSIDE strives to develop new hardware and software solutions that will support a real-world interaction with children with ASD in a joint cooperative task with therapeutical purposes.

Publications

 
An approach for personalized social interactions between a therapeutic robot and children with autism spectrum disorder
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Kim Baraka and Marta Couto and Francisco S. Melo and Ana Paiva and Manuela Veloso
   
Project INSIDE: Towards Autonomous Semi-Unstructured Human-Robot Social Interaction in Autism Therapy
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Francisco S. Melo and Alberto Sardinha and Miguel Faria and Ana Paiva and Ruben Solera and Miguel Vasco and Mithun Kinarullathil and Pedro Lima and Luís Luz and André Mateus and Jhielson Pimentel and Rodrigo Ventura and Marta Couto and Anabela Farias and Isabel Melo and Hugo Gambôa and David Belo and Daniel Osório and João Rodrigues and Pedro Sequeira and Manuela Veloso
   
Architecture Technical Report
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André Mateus and Carla Guerra and Rubén Solera
Data-Driven Generation of Synthetic Behavioral Feature Vectors Modeling Children with Autism Spectrum Disorders
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Kim Baraka and Francisco S Melo and Manuela Veloso, Proceedings of the International Conference on Development and learning and Epigenetic Robotics (ICDL-EpiRob), 2017
Me and You Together: Movement Impact in Multi-user Collaboration Tasks
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Miguel Faria and Rui Silva and Patricia Alves-Oliveira and Francisco S. Melo and Ana Paiva, , 2017
   
An Interactive Tangram Game for Children with Autism
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Beatriz Bernardo and Patrícia Alves-Oliveira and Maria Graça Santos and Francisco S Melo and Ana Paiva, International Conference on Intelligent Virtual Agents, pg. 500--504, 2016
   
The Development of Cooperation in Evolving Populations through Social Importance
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Pedro Sequeira and Samuel Mascarenhas and Francisco S. Melo and Ana Paiva, Proceedings of the 5th International Conference on Development and Learning and on Epigenetic Robotics, pg. 308--313, IEEE Computer Society, Providence, Rhode Island, Aug, 2015
The “Favors Game”: A Framework to Study the Emergence of Cooperation through Social Importance ( Extended Abstract )
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Pedro Sequeira and Samuel Mascarenhas and Francisco S. Melo and Ana Paiva, Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, pg. 1899--1900, Istanbul, Turkey, May, 2015