Qhali: A Humanoid Robot for Assisting in Mental Health Treatment.

Journal: Sensors (Basel, Switzerland)
Published Date:

Abstract

In recent years, social assistive robots have gained significant acceptance in healthcare settings, particularly for tasks such as patient care and monitoring. This paper offers a comprehensive overview of the expressive humanoid robot, Qhali, with a focus on its industrial design, essential components, and validation in a controlled environment. The industrial design phase encompasses research, ideation, design, manufacturing, and implementation. Subsequently, the mechatronic system is detailed, covering sensing, actuation, control, energy, and software interface. Qhali's capabilities include autonomous execution of routines for mental health promotion and psychological testing. The software platform enables therapist-directed interventions, allowing the robot to convey emotional gestures through joint and head movements and simulate various facial expressions for more engaging interactions. Finally, with the robot fully operational, an initial behavioral experiment was conducted to validate Qhali's capability to deliver telepsychological interventions. The findings from this preliminary study indicate that participants reported enhancements in their emotional well-being, along with positive outcomes in their perception of the psychological intervention conducted with the humanoid robot.

Authors

  • Gustavo Pérez-Zuñiga
    Engineering Department, Pontificia Universidad Catolica del Peru, San Miguel, Lima 15088, Peru.
  • Diego Arce
    Engineering Department, Pontificia Universidad Catolica del Peru, San Miguel, Lima 15088, Peru.
  • Sareli Gibaja
    Department of Psychology, Pontificia Universidad Catolica del Peru, San Miguel, Lima 15088, Peru.
  • Marcelo Alvites
    Engineering Department, Pontificia Universidad Católica del Perú, San Miguel, Lima 15088, Peru.
  • Consuelo Cano
    Department of Art and Design, Pontificia Universidad Catolica del Peru, San Miguel, Lima 15088, Peru.
  • Marlene Bustamante
    Engineering Department, Pontificia Universidad Católica del Perú, San Miguel, Lima 15088, Peru.
  • Ingrid Horna
    Engineering Department, Pontificia Universidad Católica del Perú, San Miguel, Lima 15088, Peru.
  • Renato Paredes
    Department of Psychology, Pontificia Universidad Catolica del Peru, San Miguel, Lima 15088, Peru.
  • Francisco Cuellar
    Engineering Department, Pontificia Universidad Catolica del Peru, San Miguel, Lima 15088, Peru.