Jomar Kenneth Jolo

De La Salle University

Papers

2

Total Citations

7

H-Index

2

About

Jomar Kenneth Jolo is a robotics and computer vision researcher whose work centers on developing intelligent monitoring systems designed to improve child safety in indoor environments. His most recognized contributions include the design of a spherical mobile robot capable of autonomously monitoring and tracking children indoors, addressing critical limitations found in conventional stationary monitoring technologies. Complementing this hardware-focused work, Jolo also developed a vision-based detection and tracking algorithm specifically tailored for child monitoring robots, demonstrating a holistic approach that bridges mechanical design with intelligent perception systems. Together, these publications have garnered a combined seven citations, reflecting growing interest in his applied safety robotics research. What distinguishes Jolo's work is its humanitarian motivation — each project is rooted in the urgent real-world problem of preventable childhood accidents and fatalities, pushing his research beyond purely technical novelty toward meaningful societal impact. For students and researchers exploring human-centered robotics, autonomous surveillance systems, or computer vision applied to vulnerable populations, Jolo's contributions offer a compelling and practical framework for engineering solutions that directly serve family safety and child welfare.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Spherical Mobile Robot for Monitoring and Tracking Children Indoors
4 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: De La Salle University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago