Papers
10
Total Citations
72
H-Index
5
About
Tranos Zuva is a researcher whose work spans autonomous robotics, computer vision, and emerging technologies in education and organizational systems. His primary contributions lie in the domain of Simultaneous Localization and Mapping (SLAM), where he has made significant strides in helping autonomous robots navigate and map unknown environments independently. His most cited work, "A Review on Vision Simultaneous Localization and Mapping (VSLAM)" (2018), has garnered 25 citations and remains a foundational reference for researchers entering the field. Alongside several complementary SLAM studies published in the same year, Zuva has built a coherent body of research that addresses core challenges in autonomous navigation, including performance degradation under adverse weather conditions such as rain and snow, low-light environments, and image illumination variation. His earlier work on drivable path detection systems further demonstrates a long-standing commitment to making autonomous vehicles more reliable in real-world scenarios. More recently, Zuva has broadened his research scope to include Industry 4.0 integration in IT education and Robotic Process Automation in emerging economies, reflecting his evolving interest in digital transformation. His cumulative citation record underscores a steady and growing influence within the robotics and intelligent systems research community.
Research Focus
Key Achievements
Top Papers
- 1A Review on Vision Simultaneous Localization and Mapping (VSLAM)25 citations · 2018
- 2Simultaneous Localization and Mapping in Application to Autonomous Robot10 citations · 2018
- 3Integrating Industry 4.0 technologies into IT education8 citations · 2025
- 4
- 5
- 6
- 7
- 8
- 9
- 10