Jonathan Paillacho
Papers
5
Total Citations
36
H-Index
4
About
Dr. Jonathan Paillacho is a leading researcher at the intersection of socially assistive robotics, inclusive education, and deep learning. His work centers on developing human-robot interaction platforms, particularly the "LOLY 1.0" architecture, which integrates educational videogames with social robots to engage children with Autism Spectrum Disorder in the learning process—a contribution cited 13 times. Paillacho’s systematic literature review on time series analysis using state-of-the-art deep learning approaches (9 citations) demonstrates his methodological rigor in sensor data processing. He has also pioneered visual metrics for educational videogames linked to socially assistive robots within an inclusive education framework (6 citations), and his kinematic analysis of a humanoid robot head (5 citations) provides foundational insights for maintaining patient attention during therapy. Notable achievements include designing usability and behavior metrics for human-robot-game platforms (3 citations), advancing both the technical and ethical dimensions of assistive technology. With a focus on real-world impact, Paillacho’s research bridges engineering and special education, offering scalable tools for inclusive learning environments.
Research Focus
Key Achievements
Top Papers
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