John Stergiopoulos
Papers
1
Total Citations
10
H-Index
1
About
John Stergiopoulos is a researcher whose work sits at the intersection of mobile robotics and wireless sensor networks, with a particular focus on improving autonomous navigation through sensor fusion. His most-cited paper, "Mobile robot odometry relying on data fusion from RF and ultrasound measurements in a wireless sensor framework" (2008, 10 citations), introduces an innovative approach to robot localization by leveraging existing wireless infrastructure. In this work, Stergiopoulos demonstrates how a mobile robot can simultaneously emit RF and ultrasound signals that are captured by distributed sensor nodes, which then calculate their distance from the robot. This method enhances odometry accuracy without requiring additional specialized hardware, offering a cost-effective solution for indoor navigation. While his citation count reflects a focused, early-career impact, the practical implications of his work—integrating communication and sensing for real-time positioning—are valuable for researchers developing autonomous systems in constrained environments. Stergiopoulos’s contribution lies in bridging wireless communication and robotics, a cross-disciplinary approach that continues to inform modern localization techniques.
Research Focus
Key Achievements
Top Papers
- 1