Saudi Arabia has deployed AI-powered robots to assist pilgrims during the Hajj and Umrah seasons. These robots are designed to offer guidance, answer common questions in multiple languages, and provide navigation support within the holy sites. The initiative aims to enhance the overall pilgrim experience through the adoption of advanced technology for efficient service delivery. Why it matters: This deployment demonstrates Saudi Arabia's practical application of AI in high-traffic public services, showcasing regional AI adoption to improve critical national events.
The Autonomous Robotics Research Center (ARRC) is developing underwater communication systems, including a multimode modem prototype, and has filed three patents. One key technology is the Universal Underwater Software Defined Modem (UniSDM), which supports sound, magnetic induction, light, and radio waves. ARRC also developed a network management framework for automatic network slicing (ANS) of communication resources. Why it matters: These advancements are crucial for improving underwater exploration, industrial maintenance, and marine monitoring in the region, enabling more efficient and reliable communication for underwater robots.
TII's Secure Systems Research Center (SSRC) has partnered with Purdue University on a three-year cybersecurity project focused on ensuring the safe and efficient use of Unmanned Aerial Vehicles (UAVs) in urban environments. The collaboration will study security and resilience in cyber-physical and autonomous systems, addressing vulnerabilities in communication, navigation, and command and control. The project includes four phases: modeling and analysis of UAS security, developing algorithms for high-assurance autonomy, constructing an experimental environment, and testing mitigation strategies. Why it matters: The partnership enhances the UAE's capabilities in securing critical digital systems and fosters the growth of commercial autonomous drones and robots, opening new opportunities for enterprises.
Technology Innovation Institute (TII) and Qualcomm Technologies are collaborating to advance edge-AI and autonomous solutions. The partnership will combine TII's robotics expertise with Qualcomm's edge-computing platforms to develop intelligent systems for complex environments. TII will explore Qualcomm's Dragonwing IQ9 and IQ10 platforms to build robots for sectors like energy, mining, construction, and smart cities. Why it matters: This collaboration strengthens the UAE's position in developing advanced autonomous systems and edge-AI technologies for critical industries, fostering innovation and economic growth.
Robo.ai, a robot data company, is leveraging the United Arab Emirates' ambitious $100 billion investment into artificial intelligence to power its business growth. The company focuses on collecting and processing data generated by robots, which is crucial for training and improving AI models in robotics applications. This strategic alignment positions Robo.ai to benefit from the UAE's national drive to become a global leader in AI and advanced technologies. Why it matters: This development demonstrates a tangible example of how the UAE's significant national AI investments are translating into ecosystem growth and specialized industry development within the region.
MBZUAI researchers, in collaboration with TUM, developed Open-YOLO 3D, a new method for open-vocabulary 3D instance segmentation. Open-YOLO 3D enables robots to detect and differentiate individual objects in a 3D scene without being limited to predefined object categories, using both camera images and lidar-generated 3D point clouds. The new system was shown to be more accurate and significantly faster than previous approaches. Why it matters: This advancement enhances robots' ability to understand and interact with dynamic, real-world environments, bringing robots closer to being useful in everyday life.
MBZUAI and Cleveland Clinic Abu Dhabi jointly showcased AI applications to address UAE healthcare challenges, focusing on diabetes, heart disease, and vision loss. The event highlighted AI-powered robots for surgical tool guidance, autonomous ultrasound systems, and AI-based eye diagnostics for early disease detection. Researchers presented advances in AI-powered intrabody navigation, robotic ultrasound imaging, and AI-based oculomics. Why it matters: These AI innovations have the potential to transform healthcare delivery in the UAE, improving surgical outcomes, democratizing access to diagnostic imaging, and enabling earlier disease detection.
MBZUAI Professor Sami Haddadin and his team developed a new framework called Tactile Skills to teach robots manual skills through touch and trial and error. This framework aims to address the gap in robots' ability to learn basic physical tasks compared to AI's advancements in language and image generation. The research, published in Nature Machine Intelligence, focuses on enabling robots to perform manipulation skills at industrial levels with low energy and compute demands. Why it matters: This research could lead to robots capable of performing household maintenance, industrial tasks, and even assisting in medical or rehabilitation settings, potentially solving labor shortages in various sectors in the region and beyond.