Papers
8
Total Citations
92
H-Index
6
About
Hector Rotstein is a researcher whose work spans robotics, computer vision, and autonomous navigation, with particular focus on cooperative navigation, visual localization, and biologically inspired control systems. His most influential contribution — "Graph-based distributed cooperative navigation for a general multi-robot measurement model" (2012, 41 citations) — introduced an elegant graph-theoretic framework enabling teams of robots to collectively reduce individual navigation errors by sharing inertial and sensor data across platforms. This foundational work, complemented by an earlier conference version in 2011, established a rigorous basis for consistent EKF-based data fusion in multi-robot systems. Rotstein has also made notable contributions to vision-based localization, including camera pose estimation using Bundle Adjustment combined with Digital Terrain Model constraints, and floorplan-assisted indoor positioning systems for robotic vehicles — work that addresses practical challenges in environments where GPS and ground odometry are unavailable. His research on scanning and tracking with independent cameras drew creative inspiration from the chameleon visual system, applying model predictive control and dynamic optimization to replicate biological gaze strategies. Across these diverse threads, Rotstein's career reflects a consistent drive to bridge theoretical rigor with real-world robotic perception and navigation challenges.
Research Focus
Key Achievements
Top Papers
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- 4Graph-based distributed cooperative navigation7 citations · 2011
- 5Vision-Based Indoor Positioning of a Robotic Vehicle with a Floorplan6 citations · 2018
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- 8Using Dynamic Optimization for Reproducing the Chameleon Visual System2 citations · 2006