D7 Technology is an innovation-driven company focused on developing autonomous systems and smart sensing platforms for land, sea, and air applications. Founded by Dr. Ahmet Güneş, the company integrates advanced algorithms with real-world engineering to create AI-powered vehicles and robotic systems capable of operating autonomously in complex environments.
Our core expertise lies in:
Autonomous Navigation: Designing control and decision-making algorithms for ASVs (Autonomous Surface Vehicles), UAVs (Unmanned Aerial Vehicles), AGVs (Autonomous Ground Vehicles), and AUGs (Autonomous Underwater Gliders)., Sensor Fusion: Combining data from UWB, IMU, radar, camera, and sonar systems using Kalman filters, particle filters, and deep learning to achieve robust localization and perception., Energy Efficiency: Developing energy-aware path planning and control algorithms, especially in maritime environments, to minimize fuel consumption and extend mission durations., Multi-Agent Systems: Implementing coordination and congestion-free planning for multiple agents in environments such as warehouses, greenhouses, and open sea scenarios., AI & Machine Learning: Applying deep learning, reinforcement learning, and swarm intelligence for adaptive control, anomaly detection, and predictive modeling., Smart Automation: Building systems for warehouse logistics, greenhouse yield optimization, and surveillance using autonomous mobile platforms.
We are actively involved in R&D collaborations, EU and national funding projects, and industrial partnerships. Our solutions have been tested both in simulation (e.g., Gazebo) and in the field, bridging the gap between academic research and industrial deployment.
For more, visit: www.d7tech.net
Dr. Ahmet Gunes is the founder of D7 Technology and a faculty member at Gebze Technical University. His research focuses on autonomous vehicles, sensor fusion, and intelligent control systems, with applications spanning maritime, aerial, and ground platforms. He has led national and international projects in autonomous navigation, energy-efficient motion planning, and environmental monitoring. His current work centers on optimizing maritime vehicle trajectories to reduce energy consumption using AI and reinforcement learning-based algorithms. Dr. Güneş actively collaborates with industry and academia to develop innovative and sustainable mobility solutions.