Billur Barshan
Bilkent University, Yale University, Science Oxford, Oxford Research Group, University of Oxford
Papers
23
Total Citations
1,403
H-Index
15
About
Billur Barshan is a pioneering researcher in sensor-based robotics, specializing in inertial navigation systems and bio-inspired sonar technologies. Her most influential work, "Inertial Navigation Systems for Mobile Robots" (1995), with 721 citations, introduced a low-cost solid-state INS integrated with extended Kalman filters for precise position and orientation estimation—a foundational contribution to mobile robot autonomy. She further advanced robotics by developing a bat-like sonar system (1992, 136 citations) that mimics echolocating bats for obstacle localization, and later applied neural networks to enhance sonar-based target differentiation (2000, 48 citations). Her research also extends to biomedical applications, as seen in "Localization and Tracking of Implantable Biomedical Sensors" (2017, 51 citations), showcasing her versatility. With over 1,200 total citations across her top-cited works, Barshan's contributions have significantly impacted autonomous navigation, sensor fusion, and robotic perception, establishing her as a key figure in the field.
Research Focus
Key Achievements
Top Papers
- 1Inertial navigation systems for mobile robots721 citations · 1995
- 2A bat-like sonar system for obstacle localization136 citations · 1992
- 3An inertial navigation system for a mobile robot75 citations · 2002
- 4Evaluation of a solid-state gyroscope for robotics applications57 citations · 1995
- 5Navigating vehicles through an unstructured environment with sonar56 citations · 2003
- 6Localization and Tracking of Implantable Biomedical Sensors51 citations · 2017
- 7
- 8Orientation estimate for mobile robots using gyroscopic information41 citations · 2002
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