Oksana Sychova
Papers
5
Total Citations
29
H-Index
3
About
Oksana Sychova is a robotics researcher specializing in autonomous navigation, localization, and control systems for mobile platforms, with a particular focus on agricultural and industrial applications. Her work bridges the gap between theoretical kinematics and practical deployment, often leveraging modern wireless technologies and open-source frameworks. Her most cited paper (12 citations) introduces a hybrid localization method for mobile robots that fuses QR code tags, wireless sensor networks, and odometric tachometer data to improve indoor navigation accuracy. She has also made significant contributions to agricultural robotics, developing a ROS-based control system (7 citations) and a wheeled platform architecture with independent steering and stabilization for precise trajectory tracking using visual odometry (7 citations). More recently, Sychova has explored indoor positioning with BLE technology for industrial spaces and decentralized information systems for smart manufacturing under the Industry 4.0 paradigm. Her research consistently addresses real-world challenges in GPS-denied environments, offering scalable solutions for autonomous ground vehicles. With a growing citation record and a focus on applied robotics, Sychova’s work is particularly relevant for engineers developing field robots and smart factory automation systems.
Research Focus
Key Achievements
Top Papers
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- 2Control System for Agricultural Robot Based on ROS7 citations · 2021
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