Papers
8
Total Citations
63
H-Index
5
About
Sotirios Diamantas is a robotics researcher whose work centers on autonomous navigation, depth estimation, and biologically inspired localization. His most significant contribution lies in advancing monocular depth estimation—a fundamental challenge in robotics and computer vision—demonstrated through his highly cited paper "Depth estimation for autonomous robot navigation: A comparative approach" (20 citations). Diamantas pioneered methods for extracting depth from still images and videos using a single, motionless camera, eliminating the need for reference objects or ground marks, as detailed in his 2016 work (13 citations). He has also tackled the notorious "kidnapped robot problem" through topological localization using crowdsourced georeferenced images (8 citations), and developed goal-seeking approaches for simultaneous localization and mapping with laser range finders (8 citations). His research uniquely bridges biological navigation principles—such as optical flow-based homing and landmark-guided methods—with metric mapping techniques, offering computationally efficient solutions for parsimonious robotic systems. With a portfolio spanning depth computation, active vision, and robot homing, Diamantas continues to influence the development of robust, low-cost navigation capabilities for mobile robots.
Research Focus
Key Achievements
Top Papers
- 1Depth estimation for autonomous robot navigation: A comparative approach20 citations · 2010
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- 5Depth computation using optical flow and least squares5 citations · 2010
- 6Biological and metric maps applied to robot homing5 citations · 2010
- 7Active Vision Speed Estimation from Optical Flow2 citations · 2014
- 8Towards optical flow-based robotic homing2 citations · 2010