Akilu Yunusa‐Kaltungo
Papers
3
Total Citations
10
H-Index
2
About
Dr. Akilu Yunusa-Kaltungo is a leading researcher at the intersection of construction robotics, public health, and autonomous systems. His work primarily focuses on leveraging robotic and drone technologies to enhance safety and operational efficiency in the built environment, with a particular emphasis on mitigating airborne virus transmission and enabling autonomous mapping of hazardous spaces. A key contribution is his pioneering analysis of construction robotics’ potential to reduce airborne virus spread, identifying eight thematic categories of robots and critically reviewing adoption barriers—a study that has already garnered early citations for its timely relevance. Dr. Yunusa-Kaltungo has also advanced autonomous navigation for confined spaces, developing a real-time scan-matching method that allows flying robots to determine their 2D planar position using a single laser scanner layer. This work, presented at a prestigious AIAA conference, demonstrates his hands-on approach to solving practical challenges in indoor mapping. With a growing portfolio of highly cited papers, his research is shaping how the construction industry integrates robotics for safer, healthier, and more resilient infrastructure.
Research Focus
Key Achievements
Top Papers
- 1
- 2An Autonomous Mapping Approach for Confined Spaces Using Flying Robots4 citations · 2021
- 3Real-Time Scan Matching for Indoor Mapping with a Drone2 citations · 2022