KAUST has announced a collaboration with Ocean Aero and Shelf Subsea to enhance Red Sea research using autonomous underwater and surface vehicles (AUSVs). Ocean Aero's Triton Generation III AUSV, which can sail and submerge for long-range data collection, will be customized with sensors for KAUST's Red Sea Research Center. KAUST's CEMSE division will integrate AI and IoT features into the vehicles. Why it matters: This partnership will advance KAUST's marine research capabilities and contribute to the understanding of the Red Sea's unique environment, aligning with Saudi Arabia's Vision 2030 and the UN's Ocean Science Decade.
The Technology Innovation Institute (TII) in Abu Dhabi has completed production and testing of the Nukhada Unmanned Surface Vehicle (USV). Nukhada is designed for autonomous surveying, inspection, and support of underwater operations. The paper describes the USV's features and trials during development. Why it matters: This development demonstrates the UAE's growing capabilities in autonomous robotics for maritime applications.
This paper presents the design and deployment of an autonomous unmanned ground vehicle (UGV) equipped with a robotic arm for urban firefighting. The UGV uses on-board sensors for navigation and a thermal camera for fire source identification, with a custom pump for fire suppression. The system was developed for the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020, where it achieved the highest score among UGV solutions and contributed to winning first place. Why it matters: This demonstrates the potential of autonomous robotics in addressing complex and dangerous real-world challenges like urban firefighting in the GCC region and beyond.
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.
Stanford's Robotics Laboratory, in collaboration with KAUST professors Khaled Nabil Salama and Christian Voolstra and MEKA Robotics, developed OceanOne, a bimanual underwater humanoid robot avatar with haptic feedback. OceanOne allows human pilots to explore ocean depths with high fidelity by relaying instantaneous images. The robot has two fully articulated arms and a tail section with batteries, computers, and thrusters. Why it matters: This collaboration between KAUST and Stanford highlights the increasing role of robotics and AI in deep-sea exploration, with potential applications in underwater research and resource discovery in the Red Sea and beyond.
KAUST's Image and Video Understanding Lab is developing machine learning algorithms for computer vision and object tracking, with applications in video content search and UAV navigation. Their algorithms can detect specific activities in videos, helping platforms detect unwanted content and deliver relevant ads. The object tracking algorithm is also used to empower UAVs, enabling them to follow objects autonomously. Why it matters: This research enhances video content analysis and UAV capabilities, positioning KAUST as a leader in computer vision and AI applications within the region.
Researchers from MBZUAI, Khalifa University, and Sorbonne University Abu Dhabi developed H-SURF, a system of underwater robotic fish that can swim, communicate, and gather information without human guidance. The robotic fish use bioinspired robotics with streamlined bodies, fins, and propellers to produce fluid movement. They communicate with each other using light instead of sound to reduce noise. Why it matters: This award-winning system represents a significant advancement in autonomous underwater robotics, offering a less intrusive way to monitor marine environments and gather data, with potential applications in marine biology and environmental research.
Researchers present RUR53, an unmanned ground vehicle (UGV) capable of autonomous navigation, object recognition, and tool manipulation. The UGV uses a modular software architecture, enabling it to perform complex tasks like detecting panels, docking, and manipulating tools such as wrenches and valve stems. RUR53 was tested at the 2017 Mohamed Bin Zayed International Robotics Challenge where it ranked third in the Grand Challenge as part of a collaboration. Why it matters: This research demonstrates advanced robotics capabilities applicable to various industrial and inspection tasks, highlighting the UAE's focus on robotics innovation.