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.
KAUST researchers developed a hybrid wireless communication system for non-invasive monitoring of marine animals, consisting of a lightweight, flexible, Bluetooth-enabled tag that stores sensor data underwater. The tag syncs data to floating receivers when the animal surfaces, which then relays the data via GSM or drones. The system is a collaboration between the Red Sea Research Center and KAUST's electrical engineering department. Why it matters: This technology provides researchers with detailed, near real-time data about marine animals, overcoming the limitations of invasive and impractical traditional tagging methods.
KAUST researchers developed Aqua-Fi, a system for underwater wireless communication using lasers and off-the-shelf components. The system uses a Raspberry Pi as a modem to convert Wi-Fi signals to optical signals, enabling bi-directional communication. Using blue and green lasers, they achieved 2.11 megabits per second over 20 meters, compliant with IEEE 802.11 standards. Why it matters: This innovation could significantly improve underwater data transmission, benefiting applications such as environmental monitoring, underwater exploration, and communication with underwater devices.
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.
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.