Yassen Dobrev
Papers
11
Total Citations
184
H-Index
7
About
Yassen Dobrev is a researcher specializing in wireless indoor positioning systems, mobile robot localization, and autonomous navigation — fields at the intersection of robotics, sensor fusion, and wireless communications. His work addresses one of the most persistent challenges in modern robotics: accurate, reliable localization in GPS-denied indoor environments. Dobrev's most influential contribution, "Steady Delivery: Wireless Local Positioning Systems for Tracking and Autonomous Navigation of Transport Vehicles and Mobile Robots" (2017, 51 citations), established a compelling case for wireless connectivity and IoT-driven solutions in industrial and service automation. His complementary work on multi-modal sensor fusion (2016, 41 citations) demonstrated how combining wireless range and angle measurements with inertial and other sensing modalities can yield robust 3D pose estimation for mobile robots. Across his body of work, Dobrev has pioneered novel localization architectures — including 24 GHz bilateral radar systems, SILO-based backscatter transponders, Extended Kalman Filter-based bearings-only approaches, and chipless UWB RFID landmarks — collectively accumulating over 180 citations. His research has clear implications for service robotics, industrial automation, human-robot interaction, and even planetary exploration, making him a noteworthy contributor to the growing field of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2Multi-modal sensor fusion for indoor mobile robot pose estimation41 citations · 2016
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- 7Mobile robot 6D pose estimation using a wireless localization network9 citations · 2016
- 8A 24-GHz Wireless Locating System for Human–Robot Interaction4 citations · 2019
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