Projects

FeelGood!

A multidisciplinary project of Robot Assisted Therapy for autistic children, aiming to improve access to healthcare specialists.

FeelGood! combines social robots, serious games, and video modeling to create a more inclusive and supportive healthcare experience for autistic children. The project focuses on empowering young patients to improve their communication and self-advocacy skills, ensuring greater comfort during specialist appointments.

By tracking therapeutic outcomes, the initiative also provides healthcare professionals with valuable insights to personalize and refine interventions, fostering long-term developmental progress.

TalKidz

A predictive AI-powered software for early diagnosis and therapy support for language disorders in preschool children.

TalKidz is an innovative software platform designed to assist children in overcoming language disorders.

Using AI-driven speech-to-text analysis, the system identifies errors in real-time and provides targeted recommendations for therapy. The platform supports speech therapists by offering intelligent suggestions during sessions and post-evaluation insights to refine treatment plans. By addressing language issues early, TalKidz aims to enhance therapy outcomes and contribute to the healthy development of communication skills in children.

Don’t cHRI

How would the user react to an empathetic robot?

Don’t cHRI explores the role of artificial empathy in human-robot interaction by equipping social robots with the ability to recognize user emotions and respond empathically.

The robot’s multimodal responses, aligned with the user’s emotional state, are designed to simulate empathy, creating a more natural and engaging interaction experience.

The project investigates how these empathetic behaviors influence user reactions and provides critical insights into the potential of emotion-based robotics, highlighting both its possibilities and ethical implications for future applications.

Sugar, Salt & Pepper

Social robots for practical, emotional, and social skill-building in autism therapies.

Sugar, Salt & Pepper integrates the humanoid robot Pepper into therapeutic programs aimed at autistic children with low support needs (Level 1 of support diagnosed).

Through engaging and adaptive activities, the robot helps improve areas such as communication, emotional recognition, and social interaction. The project also promotes autonomy by encouraging children to practice daily life practical skills in a motivating and structured environment.

By collecting and analyzing interaction data, the initiative provides therapists and educators with valuable resources to better tailor interventions and refine therapeutic strategies.

Wolly

Innovating social robotics to enhance human interaction and learning.

Wolly is a robotic companion designed to support children with disabilities in both educational and therapeutic settings.

By facilitating personalized learning experiences, Wolly helps to improve social interaction, cognitive skills, and inclusion within group activities.

The project also explores how adaptive robotics can create meaningful bonds between children and technology, fostering confidence and providing a safe space for learning and growth.

Wolly aims to set a new standard for integrating robots into educational systems to empower children and enhance developmental outcomes.

BCIpar4SLA

Advancing communication for ALS patients through Brain-Computer Interfaces.

This project focuses on combining Brain-Computer Interfaces (BCI) with pupillary accommodative responses to develop innovative tools for ALS patients with limited communication abilities.

By analyzing brain activity via EEG and eye responses, the system deciphers the user’s intentions, enabling seamless interaction with digital devices and communication platforms. The research also emphasizes user-centered design, ensuring that the tools are adaptable, ergonomic, and easy to use.

The ultimate goal is to restore independence and improve the quality of life for patients with severe motor impairments, offering a new way to communicate with the world.

BciAi4Sla

Bridging brain activity and digital environments for ALS patients.

BciAi4Sla aims to create a comprehensive platform that connects the brain activity of ALS patients to digital devices, such as smartphones, tablets, robots, and smart home systems.

By integrating Brain-Computer Interfaces (BCI) with wearable sensors and adaptive algorithms, the platform enables direct and intuitive communication between patients and their surroundings.

The project focuses on usability, scalability, and personalization to ensure that the solution meets the unique needs of each patient. In doing so, BciAi4Sla seeks to provide ALS patients with greater autonomy and improve their overall quality of life through accessible and innovative technology.