John Kern Molina

Universidad del Azuay

Papers

1

Total Citations

4

H-Index

1

About

John Kern Molina is a researcher dedicated to advancing assistive robotics and inclusive technology, with a primary focus on integrating people with physical disabilities into industrial environments. His most-cited work, "Implementation of a Telerobotic System Based on the Kinect Sensor for the Inclusion of People with Physical Disabilities in the Industrial Sector" (2019, 4 citations), introduces a master-slave telerobotic architecture that leverages the Kinect sensor for wireless, gesture-based control. This system enables individuals with limited mobility to operate industrial robots remotely, breaking down barriers to employment and participation in manufacturing sectors. Molina’s contribution lies in translating low-cost, off-the-shelf sensor technology into practical, accessible solutions for real-world industrial applications. By prioritizing inclusion and usability, his research bridges the gap between human capability and technological demand, offering a scalable model for workplace adaptation. Though his citation count is modest, the work’s applied nature and social impact highlight its significance in the fields of human-robot interaction, rehabilitation engineering, and inclusive design. Molina’s efforts underscore a commitment to using robotics not just for automation, but for empowerment.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Implementation of a Telerobotic System Based on the Kinect Sensor for the Inclusion of People with Physical Disabilities in the Industrial Sector
4 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Universidad del Azuay

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago