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About

Serhii Tesliuk is a robotics researcher specializing in autonomous navigation and localization for mobile platforms, with a particular focus on agricultural and industrial applications. His work addresses the critical challenge of enabling robots to navigate accurately in environments where traditional GPS signals are unavailable or unreliable. Tesliuk’s most-cited paper (12 citations) introduces an improved method for local navigation that fuses QR code tag-based base stations with odometric positioning using tachometers, enhancing precision for mobile robots in controlled spaces. He further advanced this field by developing the architecture for an agricultural robot platform that employs visual odometry to determine trajectories, incorporating a wheeled chassis with independent drives and steering capabilities—a design that supports stable operation on uneven terrain. More recently, Tesliuk has explored indoor localization using Bluetooth Low Energy (BLE) technology, leveraging RSSI data from base stations to determine coordinates where satellite signals fail. His contributions are particularly valuable for the growing fields of precision agriculture and industrial automation, where reliable autonomous navigation is essential for efficiency and scalability.