Alejandro Lorite Mora

Keio University

Papers

1

Total Citations

18

H-Index

1

About

Alejandro Lorite Mora is a pioneering researcher at the intersection of robotics, sensor technology, and assistive healthcare. His primary research areas include human activity detection, autonomous unmanned systems, and non-invasive monitoring solutions for vulnerable populations. His most cited work, "A 2D-Lidar-Equipped Unmanned Robot-Based Approach for Indoor Human Activity Detection" (2023), has garnered 18 citations and represents a significant breakthrough in elderly care technology. Lorite Mora's major contribution lies in demonstrating how 2D LIDAR sensors mounted on mobile robots can reliably detect critical events such as falls in real-time, offering a privacy-preserving alternative to camera-based monitoring systems. This approach addresses the growing need for autonomous, in-home assistance for aging populations living alone. His work bridges robotics, computer vision, and gerontechnology, with implications for reducing emergency response times and enabling independent living. Lorite Mora's research has been recognized for its practical applicability, combining rigorous sensor processing with human-centered design. His findings continue to influence the development of cost-effective, scalable robotic monitoring systems for healthcare environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
A 2D-Lidar-Equipped Unmanned Robot-Based Approach for Indoor Human Activity Detection
18 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Keio University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago