Stavrow A. Bahnam
Papers
1
Total Citations
11
H-Index
1
About
Stavrow A. Bahnam is a robotics researcher whose work focuses on enabling autonomous navigation for resource-constrained robotic platforms. His primary research areas include stereo visual-inertial odometry (VIO), embedded systems, and efficient state estimation for mobile robots. Bahnam’s most significant contribution addresses a critical bottleneck in field robotics: the high computational cost of stereo VIO algorithms. In his highly cited 2021 paper, “Stereo Visual Inertial Odometry for Robots with Limited Computational Resources” (11 citations), he developed a modified version of the S-MSCKF algorithm that dramatically reduces processing demands. This innovation allows robots with limited onboard computing power—such as small drones or low-cost rovers—to maintain high-accuracy localization without sacrificing frame rate. By optimizing the trade-off between computational efficiency and estimation precision, Bahnam’s work has practical implications for search-and-rescue missions, environmental monitoring, and autonomous exploration in remote or hazardous environments. His research bridges the gap between theoretical VIO methods and real-world deployment on affordable, power-constrained hardware, making him a notable figure in the field of resource-aware robotics.
Research Focus
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Top Papers
- 1