As a Graduate Researcher within the Personal Robots Group at MIT Media Lab, I conduct cutting-edge research in the field of Early Childhood Learning with a focus on social robots and LLMs (Large Language Models). In this role, I aim to contribute to Social Robotics and the Learning process to deepen my knowledge and allow me to acquire more scientific and engineering knowledge in Social Emotional Learning.

I specialize in social robotics and technology integration, collaborating on impactful projects with organizations such as Kids&Us, MIT, Sant Joan de Deu Barcelona's Children's Hospital, Vueling Airlines, QTrobot, Viva Aerobús, Kids&Us, and PAL Robotics. My expertise encompasses developing conversational agents for physical and digital robots, designing robotics behavior systems, optimizing robotic systems, and implementing AI solutions. With a strong foundation in multidisciplinary research and development across various sectors, including education, medical, fashion, entertainment, and health, I am dedicated to advancing innovation and efficiency in the field of robotics.

Research team member in a study entitled "Interactions between social robot "Briggie," nurses and mock patients during the simulated Al-augmented hourly nursing safety rounds." Conduct experimental sessions, collect data and questionnaires, and assist with data analysis. Additionally, programming a conversational agent software and being involved in the engineering design of the robot, human factors engineering, and technology integration.

Research team member in a study entitled "Interactions between social robot "Briggie," nurses and mock patients during the simulated Al-augmented hourly nursing safety rounds." Conduct experimental sessions, collect data and questionnaires, and assist with data analysis. Additionally, programming a conversational agent software and being involved in the engineering design of the robot, human factors engineering, and technology integration.

Development of a robust GPT-based framework designed to support children in their learning journey with LEGO Spike. This innovative work leverages the power of GPT and LLM’s technologies to provide personalized and interactive assistance to young learners. By integrating natural language processing and machine learning techniques, I have combined my expertise in open conversation models, educational technology, and child-centered learning methodologies to create a valuable tool that empowers young minds and fosters their educational growth with LEGO Spike.

Private tutor for ages between 8 and 18 years old.

Research and writing of the state of the art regarding the robotics that we have today in order to create insurance for our robots of the future.

- Robotics, electronics, programming and 3D/2D design teacher. - Development of projects using 3D printer and laser cutter for subsequent assembly and their respective electronic structure.

Robotics Research