About RACLAB
Founded in 2014 at Konya Technical University — where students, engineers and academics build autonomous systems that compete nationally and internationally.
Laboratory Director
Professor, Electrical & Electronics Engineering · Konya Technical University
Prof. Dr. Akif DURDU is the founder and director of RACLAB. His research focuses on autonomous systems, unmanned aerial and ground vehicles, sensor fusion, human-robot interaction, and intelligent transportation systems. He has supervised over 49 TÜBİTAK student projects and numerous industry R&D collaborations with companies such as Elfatek, MOSAŞ, Otobot, MPG, and Agrovisio. Under his leadership, RACLAB teams have achieved championship titles at TEKNOFEST and top placements at international competitions including AUVSI SUAS in the USA.
Robotics · Automation · Control · Laboratory
Our Mission
Founded in 2014 under the leadership of Prof. Dr. Akif DURDU, RACLAB is a project-based R&D laboratory at Konya Technical University. Undergraduate and graduate students work alongside academics on real-world engineering challenges.
Our philosophy: students learn not only technical skills but also teamwork, communication, and product-development thinking through real problem scenarios. Computer, Electrical-Electronics, Mechanical, and Industrial Engineering students collaborate on the same projects.
RACLAB uses national and international competitions as part of its R&D culture — TEKNOFEST, AUVSI SUAS (USA), OpenZeka MARC, ODTÜ Robot Günleri, and TÜBİTAK 2242 are among the regular platforms.
Research Focus
RACLAB's research spans six core domains, integrating perception, planning, control, and communication into deployable autonomous systems.
Fixed-wing & rotary-wing UAV platforms, indigenous flight control software, autonomous flight, GPS-denied navigation, swarm coordination, real-time image processing.
Sensor-fusion localization, lane detection, obstacle avoidance, path planning, autonomous control for self-driving cars and industrial AGVs.
GNSS-independent navigation using IMU–DVL–camera–depth sensor fusion, obstacle detection, autonomous mission planning for underwater environments.
Estimating and reshaping human intention using HMM and OOM methods. Gesture recognition, action understanding, and safe motion planning in collaborative scenarios.
IoT-based adaptive traffic signal control, V2I communication modules, digital twin technology for intersections, AI-driven macroscopic traffic analysis software.
Multi-sensor integration (IMU, LiDAR, camera, GPS) for robust state estimation, simultaneous localization and mapping, multi-agent situational awareness.
Track Record
32 major awards from 2016 to 2025 — national championships, international placements, and special awards across UAV, UGV, AUV, and robotics categories.
AUVSI SUAS 2018 (USA) — 20th out of 70 teams in first participation. AUVSI SUAS 2019 (USA) — 11th out of 67 teams. Both competitions featured autonomous flight, obstacle avoidance, object detection, classification, localization, payload drop, and communication challenges using indigenous software and hardware.
Industry & R&D
RACLAB actively supports university-industry collaboration through TÜBİTAK, KOSGEB, and EU-funded joint R&D projects with Konya-based companies.
Design and development of autonomous mission robots and their electronic control units for factory and industrial environments. Power management, motor drivers, sensor interfaces, embedded software.
Partner: Elfatek Electronics · 2020–2025
Development of IoT and AI-based autonomous mobile robots integrated with fleet management systems. Data analytics, mission planning, and autonomous decision-making algorithms.
Partner: Otobot · 2024–2025
IoT-based adaptive traffic signal control, V2I communication modules, digital twin technology for smart intersections, and cloud-based macroscopic traffic analysis (World Bank-funded).
Partner: MOSAŞ Group · 2018–ongoing
Design and prototype manufacturing of an intelligent autonomous spraying machine with smart mapping capabilities, variable-rate spraying, sensor fusion, and autonomous path planning.
Partner: Önallar Agriculture · 2025–ongoing
International ERA-NET ICT-AGRI-FOOD project for satellite-controlled sustainable sugarbeet production. Remote sensing, agricultural data analytics, GIS integration.
Partner: Agrovisio · 2022–ongoing
Sensor fusion-based position estimation, route planning, active obstacle detection and avoidance for autonomous shuttle deployment in outdoor environments. Field-validated system.
Partner: MPG Machinery Production · 2021–2025
We are always looking for motivated students, researchers, and industry partners. Whether you are a student wanting to join a team or a company seeking R&D collaboration — get in touch.