ARRC researchers in collaboration with the University of Bologna and ETH Zürich have developed a CNN-based AI deck to enable autonomous navigation of a 27g nano-drone in unknown environments. The CNN allows the drone to recognize and avoid obstacles using only an onboard camera, running 10x faster and using 10x less memory than previous versions. The demo also featured a swarm of nano-drones flying in formation using ultra-wideband communication. Why it matters: This advancement could significantly enhance the capabilities of nano-drones for applications such as disaster response, where quick and efficient intervention is crucial.
The Autonomous Robotics Research Center (ARRC) at TII won the Nanocopter AI Challenge 2022, part of the International Micro Air Vehicle Conference. The challenge involved developing AI-enabled solutions for Bitcraze’s Crazyflie nanocopters to perform vision-based obstacle avoidance. The ARRC team's nano-drone completed a 110m flight in 5 minutes with no crashes in a dynamic environment. Why it matters: This victory demonstrates the growing expertise in autonomous robotics and AI-powered drone technology within the UAE, with potential applications in search and rescue, industrial inspection, and precision agriculture.
KACST and KAUST are collaborating on two research projects using KACST's Saker 4 drone. The first project prototypes a UAV-based flash flood monitoring system using disposable microsensors. The second augments UAV navigation with vision to improve takeoff and landing via a new runway detection algorithm. Why it matters: This collaboration showcases the growing sophistication of Saudi Arabia's indigenous drone capabilities for environmental monitoring and advanced navigation research.
Saudi startup Firnas Aero, founded in 2018, offers drone-based inspection services targeting aviation, security, industrial, and delivery sectors. The company develops its own drones and AI-equipped software for faster and more accurate inspections than manual methods. Their solution involves drones capturing high-resolution images analyzed by AI to pinpoint issues, enhancing speed and accuracy. Why it matters: This showcases Saudi Arabia's growing entrepreneurial interest in drone technology and AI-powered solutions for industrial applications, potentially improving efficiency and safety across sectors.
This paper presents a fully autonomous micro aerial vehicle (MAV) developed to pop balloons using onboard sensing and computing. The system was evaluated at the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020. The MAV successfully popped all five balloons in under two minutes in each of the three competition runs. Why it matters: This demonstrates the potential of autonomous robotics and computer vision for real-world applications in challenging environments.
The paper presents MonoRace, an onboard drone racing approach using a monocular camera and IMU. The system combines neural-network-based gate segmentation with a drone model for robust state estimation, along with offline optimization using gate geometry. MonoRace won the 2025 Abu Dhabi Autonomous Drone Racing Competition (A2RL), outperforming AI teams and human world champions, reaching speeds up to 100 km/h. Why it matters: This demonstrates a significant advancement in autonomous drone racing, achieving champion-level performance with a resource-efficient monocular system, validated in a real-world competition setting in the UAE.
TII's Secure Systems Research Center in Abu Dhabi has integrated a secure PX4 stack into a RISC-V based drone, marking a milestone in making RISC-V UAV systems a reality. The center ported DroneCode's PX4 open source software to RISC-V using a commercially available RISC-V development platform. SSRC aims to improve the security and resilience of the PX4 flight control software and NuttX real-time OS, contributing modifications back to the open-source community. Why it matters: This achievement enhances TII's position in drone and autonomous systems research, contributing to safer and more efficient smart city applications in the region.