Luis Serpa-Andrade

About

Luis Serpa-Andrade is a pioneering researcher at the intersection of assistive robotics, artificial intelligence, and therapeutic applications for children with disabilities and neurodevelopmental disorders. His work addresses a critical global challenge: the vast gap in accessible healthcare and educational services for vulnerable populations, particularly children with cerebral palsy, communication disorders, and attention deficit hyperactivity disorder (ADHD). Serpa-Andrade's most recognized contribution — a robotic assistant for speech therapy in children with cerebral palsy (2016, 22 citations) — established him as a leading voice in socially assistive robotics, demonstrating how technology can bridge healthcare inequities highlighted by the World Health Organization. His subsequent research expanded this foundation, developing multipurpose robotic systems for cognitive therapy, trauma accident prevention education, and behavioral recognition using artificial vision in smart home environments. His work on low-cost EMG signal classification further reflects a commitment to accessible, practical biomedical solutions. With a growing body of work accumulating over 50 citations, Serpa-Andrade consistently champions technology-driven interventions that empower children who lack access to conventional therapeutic services, making his research both scientifically rigorous and profoundly humanitarian in its motivation.

Research Focus

Key Achievements

Top Papers

1. 1
   Robotic assistant for support in speech therapy for children with cerebral palsy

   22 citations · 2016
2. 2
   Robotic Assistant for the Teaching in Trauma Accidents Prevention in Children of Initial Age

   8 citations · 2020
3. 3
   A robotic assistant to support the development of communication skills of children with disabilities

   5 citations · 2016
4. 4
   Iteration of Children with Attention Deficit Disorder, Impulsivity and Hyperactivity, Cognitive Behavioral Therapy, and Artificial Intelligence

   4 citations · 2021
5. 5
   Low-Cost Embedded System Proposal for EMG Signals Recognition and Classification Using ARM Microcontroller and a High-Accuracy EMG Acquisition System

   4 citations · 2020
6. 6
   Design, Development and Assessment of a Multipurpose Robotic Assistant in the Field of Cognitive Therapy

   4 citations · 2022
7. 7
   Artificial Vision Algorithm for Behavior Recognition in Children with ADHD in a Smart Home Environment

   4 citations · 2022
8. 8
   Systematic Review for Children with ADHD with a Vitual Therapeutic Tool

   3 citations · 2021

Key Collaborators

Contact & Links