Robotics and autonomous systems research from the Gulf region, including work from MBZUAI, Khalifa University, and TII on robot learning and embodied AI.
KAUST marine biologist Maggie Johnson is studying how to accurately measure environmental conditions to optimize coral restoration, focusing on temperature and light. She highlights the variability in precision and accuracy of commercially available instruments for measuring these parameters. Johnson notes that some instruments fail in the Red Sea's warm temperatures and high salinity, providing incorrect data. Why it matters: Accurate environmental monitoring is crucial for the success of coral reef restoration efforts in the face of climate change, especially in extreme environments like the Red Sea.
Researchers in Saudi Arabia are applying computer vision techniques to reduce Camel-Vehicle Collisions (CVCs). They tested object detection models including CenterNet, EfficientDet, Faster R-CNN, SSD, and YOLOv8 on the task, finding YOLOv8 to be the most accurate and efficient. Future work will focus on developing a system to improve road safety in rural areas.
KAUST researchers are exploring thin-film device technologies using materials like printable organics and metal oxides for a greener Internet of Things (IoT). They propose wirelessly powered sensor nodes using energy harvesters to reduce reliance on batteries, which are costly and environmentally harmful. Large-area electronics, printed on flexible substrates, offer a more eco-friendly alternative to silicon-based technologies due to solution-based processing and lower production temperatures. Why it matters: This research contributes to a more sustainable and environmentally friendly IoT ecosystem, aligning with global efforts to reduce electronic waste and energy consumption.
Researchers are exploring computer vision models to mitigate Camel-Vehicle Collisions (CVC) in Saudi Arabia, which have a high fatality rate. They tested CenterNet, EfficientDet, Faster R-CNN, and SSD for camel detection, finding CenterNet to be the most accurate and efficient. Future work involves developing a comprehensive system to enhance road safety in rural areas.
KAUST researchers Dr. Islam Ashry, Dr. Chun Hong Kang, and Professor Boon S. Ooi won the 2022 International Date Palm Innovative Technology Excellence Prize from the National Center for Palm and Dates (NCPD) for their fiber-optic distributed acoustic sensor. The sensor enables early detection of red palm weevils in date palm trees, a major problem in the Middle East, Southeast Asia, and Europe. The prize includes a SAR 200,000 reward. Why it matters: This award recognizes innovative research addressing a critical agricultural challenge in the region, with potential for significant economic impact by reducing losses from infestations.
KAUST researchers are exploring novel chemical reactors and separation processes using mathematical design, with a focus on time and shape variables to enhance transport, heat transfer, and mass transfer. By aligning design, modeling, and 3D printing, they create customized shapes with great complexity and less material. This approach allows for the creation of bespoke reactors and separation processes tailored to specific applications, improving efficiency and reducing energy consumption. Why it matters: This research demonstrates the potential of advanced manufacturing techniques to revolutionize industrial design in the Middle East's chemical and pharmaceutical sectors.
Averda and KAUST have signed a 10-year contract to provide sustainable waste management solutions, targeting zero-waste goals by 2025. Averda will manage solid and hazardous waste, recycling, sorting, and disposal, building on a partnership since 2015 that has already recycled over 3,500 tonnes of waste. The new facility will include an all-electric fleet of waste collection vehicles and advanced sorting technology to divert waste from landfills. Why it matters: This partnership showcases a commitment to environmental sustainability and sets a precedent for technology-driven waste management solutions in Saudi Arabia.
KAUST researchers have developed solar panels with 4D-printed legs that readjust their position to track the sun's movement without consuming electrical energy. The design uses smart materials that contract when exposed to sunlight, tilting the panel towards the sun. A multidisciplinary team of interns collaborated on the project, integrating physics, electrical engineering, and mechanical engineering expertise. Why it matters: This low-cost, energy-efficient solar-tracking technology could significantly increase the energy output of solar cells, offering a viable renewable energy solution for the region and beyond.
KAUST researchers used the Shaheen XC40 supercomputer to simulate airflow around a McLaren 17D Formula One front wing endplate. They then 3D printed the wing with colored flow patterns to visualize key aerodynamic features. The team combined expertise from the Extreme Computing Research Center (ECRC), the Advanced Algorithm and Numerical Simulations Lab (AANSLab), and the Prototyping and Product Development Core Lab (PCL). Why it matters: This project showcases KAUST's supercomputing and 3D printing capabilities for advanced engineering applications, potentially impacting fields beyond Formula One aerodynamics.
KAUST researchers in the Sensors Lab are developing neuromorphic circuits for vision sensors, drawing inspiration from the human eye. They created flexible photoreceptors using hybrid perovskite materials, with capacitance tunable by light stimulation, mimicking the human retina. The team collaborates with experts in image characterization and brain pattern recognition to connect the 'eye' to the 'brain' for object identification. Why it matters: This biomimetic approach promises advancements in AI, machine learning, and smart city development within the region.
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.
KAUST researchers from the Red Sea Research Center are studying mesophotic reefs (40-150m deep) as potential climate refuges for corals threatened by marine heatwaves. These deeper reefs experience less heat and light stress compared to shallow-water corals. Advanced tools like submarines and robots are now enabling the study of these previously neglected ecosystems. Why it matters: Understanding the resilience of Red Sea corals could provide crucial insights for global coral reef conservation strategies amid climate change.
Team NimbRo presented four UAVs tailored for the MBZIRC 2020 challenges, including target chasing, wall building, and fire fighting. The UAVs utilized onboard object detection, aerial manipulation, LiDAR, and thermal cameras to perform their tasks autonomously. The team's software stack, which is mostly open-source, includes tools for system configuration, monitoring, and agile trajectory generation. Why it matters: The work demonstrates advanced robotics capabilities developed in the context of a major regional competition, advancing machine vision and trajectory generation, and showcasing potential applications in various sectors.
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.
McLaren Racing visited KAUST to celebrate their three-year R&D partnership, established in 2018, focusing on computational fluid dynamics, machine learning, and other areas. The visit included discussions on STEM education, sustainability, and a simulator race between McLaren driver Lando Norris and a KAUST community member. McLaren and KAUST have also collaborated on personal protective equipment, emergency ventilators, and sustainability initiatives. Why it matters: This partnership highlights the increasing role of advanced research and STEM education in Saudi Arabia's technology and sustainability initiatives, facilitated through collaborations between academic institutions and global industry leaders.
This paper presents a 2-D convolutional neural network (CNN) approach for damage detection in steel frame structures, using raw acceleration signals as input. The method employs a network of lightweight CNNs, each optimized for a specific element, to enhance accuracy and speed. The proposed framework is validated using the Qatar University Grandstand Simulator (QUGS) benchmark data. Why it matters: The research offers a promising AI-driven solution for real-time structural health monitoring, with potential applications for infrastructure maintenance and safety in the GCC region.
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.
A Carnegie Mellon team (Tartan) presented their approach to rapidly deployable and robust autonomous aerial vehicles at the 2020 Mohamed Bin Zayed International Robotics Challenge (MBZIRC). The system utilizes common techniques in vision and control, encoding robustness into mission structure through outcome monitoring and recovery strategies. Their system placed fourth in Challenge 2 and seventh in the Grand Challenge, with achievements in balloon popping, block manipulation, and autonomous firefighting. Why it matters: The work highlights strategies for building robust autonomous systems that can operate without central communication or high-precision GPS in challenging real-world environments, directly addressing key needs in the development of field robotics for the Middle East.
This paper presents a UAV-UGV team designed for autonomous firefighting, developed for the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020. The system uses LiDAR for localization in GNSS-restricted environments and fuses LiDAR and thermal camera data to track fires. Relative navigation enables successful fire extinguishing. Why it matters: This research demonstrates the potential of robotic systems in autonomous firefighting, addressing challenges in dangerous and inaccessible environments, and advancing robotics research within the UAE.
Team NimbRo presented their UGV solution for autonomous wall building and firefighting at the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020. The robot integrates a wheeled omnidirectional base, a 6 DoF manipulator arm with a magnetic gripper, a storage system, and a water spraying system. It uses 3D LiDAR, RGB, and thermal cameras to perceive the environment, pick up boxes, construct walls, and detect/extinguish fires. Why it matters: The work highlights advancements in autonomous robotics for complex tasks relevant to construction and disaster response in the UAE and globally.
KAUST researchers Yichen Cai and Jie Shen, led by Dr. Vincent Tung, are developing electronic skin (e-skin) using 2D materials like MXenes. Their research, published in Science Advances, focuses on mimicking human skin functions like sensing and adapting to stimuli. The team leverages the unique properties of 2D materials to create flexible and efficient electronic systems for next-generation electronics. Why it matters: This work advances materials science in the region, potentially enabling breakthroughs in flexible electronics, healthcare monitoring, and robotics.
KAUST Ph.D. student Saeed Amin is the first Saudi to complete KAUST's American Academy of Underwater Sciences-accredited Scientific Research Diver Certification course. The course, introduced in February 2020 by KAUST's Coastal and Marine Resources Core Lab, is the first of its kind conducted in Saudi Arabia. KAUST's CMR collaborates with the Saudi Water Sports & Diving Federation to advise on scientific diver regulations. Why it matters: This establishes local capacity for underwater marine research, contributing to Saudi Vision 2030's goals for a highly skilled workforce.
KAUST researchers have developed a novel wastewater treatment method that recovers energy while removing ammonium. The process harnesses anammox bacteria to oxidize ammonium and generate electrical current or hydrogen gas. Pilot-scale reactors are being tested at KAUST, coupled with photovoltaic panels for solar-powered wastewater treatment. Why it matters: This approach could lead to more energy-efficient and sustainable wastewater treatment, aligning with circular economy principles.
This paper presents the synthesis of a 1-DoF six-bar gripper mechanism for aerial grasping, designed for a task in the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020. The synthesis process involves selecting the mechanism class, determining the number of links and joints using algebraic methods, and optimizing link dimensions via geometric programming. The gripper was modeled in CAD software, additively manufactured, and mounted on a UAV with a DC motor for gripping spherical objects. Why it matters: The research contributes to advancements in robotics and aerial manipulation, with potential applications in various industries, particularly for tasks requiring remote object retrieval and manipulation.
This paper details an autonomous cooperative wall-building system using UAVs developed for Challenge 2 of the MBZIRC 2020 competition. The system employs scanning, RGB-D detection, precise grasping, and multi-UAV coordination to place bricks on a wall. The CTU-UPenn-NYU approach achieved the highest score in the competition by correctly placing the most bricks. Why it matters: This demonstrates advanced capabilities in robotics and autonomous systems relevant for construction and infrastructure development in challenging environments.
Azure Robotics, a KAUST startup, won a 100,000 SAR award from the KACST Combating COVID-19 Accelerator. Their winning project uses AI-enabled robots with UV light to disinfect large public spaces like airports and hospitals. The AI-powered robotic solution is reportedly six times more efficient than traditional human disinfection methods. Why it matters: This highlights the growing role of AI and robotics in addressing public health challenges in the region, with KAUST playing a key role in fostering related innovation.
This paper presents two robotic systems developed for the MBZIRC 2020 competition, designed for autonomous wall construction. The systems utilize a UGV with 3D LiDAR for precise brick pose estimation and a UAV employing real-time visual servoing. The authors report results from the competition and lab experiments, discussing lessons learned from the autonomous wall-building task. Why it matters: The work highlights advancements in mobile manipulation and autonomous robotics, with potential applications in construction and infrastructure development in the region.
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.
An article from KAUST discusses the impact of COVID-19 on automation, material science, and VR. It suggests increased automation, voice activation, and motion detection to reduce transmission in public spaces. KAUST faculty member Derya Baran is working on antimicrobial materials for high-touch locations, and KAUST is exploring VR for virtual labs. Why it matters: The pandemic is accelerating the adoption of AI-driven solutions and advanced materials research within Saudi Arabia to address public health challenges.
This paper proposes a smart dome system for mosques that uses machine learning to automatically control dome ventilation based on weather conditions and outside temperatures. The system was tested on the Prophet Mosque in Saudi Arabia using K-Nearest Neighbors and Decision Tree algorithms. The Decision Tree algorithm achieved a higher accuracy of 98% compared to 95% for the k-NN algorithm.
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.
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 at the University of Maryland have developed an AI model that can identify objects hidden by camouflage by analyzing subtle texture variations. The AI was trained on synthetic data and then tested on real-world images. It successfully detected camouflaged objects with high accuracy, even when the camouflage was very effective. Why it matters: This could have implications for military applications, search and rescue operations, and even wildlife conservation.
Researchers at the University of Maryland have developed an AI system that can identify objects hidden by camouflage. The AI uses a convolutional neural network trained on synthetic data to detect partially occluded objects. The system outperformed existing object detection methods in tests on real-world images. Why it matters: The work demonstrates potential applications of AI in defense, security, and search and rescue operations in the Middle East and elsewhere.
Researchers in Saudi Arabia have developed a deep learning framework for automated counting and geolocation of palm trees using aerial images. The system uses a Faster R-CNN model trained on a dataset of 10,000 palm tree instances collected in the Kharj region using DJI drones. Geolocation accuracy of 2.8m was achieved using geotagged metadata and photogrammetry techniques.
Victor Vescovo and the Caladan Oceanic crew, in cooperation with KAUST, made multiple manned dives into the Red Sea. They reached the deepest point, the Suakin Trough, for the first time. The team also dove the Kebrit Deep, which is shallower but scientifically important. Why it matters: This exploration provides an opportunity to study and protect the unique resources of the Red Sea's deepest regions, furthering scientific understanding of these previously inaccessible environments.
Kuwait has launched a Robotics and AI Festival, as reported by Global Times, signifying an initiative to promote technological advancement. This event aims to showcase innovations, foster talent, and enhance public engagement in the fields of robotics and artificial intelligence. The festival likely includes exhibitions, workshops, and discussions to encourage local development and awareness. Why it matters: This initiative reflects Kuwait's strategic commitment to building its technological capabilities and nurturing a skilled workforce in critical future-oriented sectors, aligning with broader regional efforts in AI development.
Kuwait has launched a Robotics and AI Festival, aiming to foster innovation and technological understanding within the country. The event is designed to engage participants through various activities, potentially including workshops, competitions, and exhibitions showcasing advancements in artificial intelligence and robotics. This festival seeks to promote a culture of technological exploration and development among Kuwaiti youth and the broader community. Why it matters: This initiative helps raise public awareness, cultivate local talent, and promote a culture of technological innovation crucial for Kuwait's digital transformation goals.
KAUST's Bluefin, a fish wearable technology developed by Professor Muhammad Mustafa Hussain, won the CES Innovation Award. The device measures water temperature, pressure, depth, and pH levels, functioning for a year at a depth of 2km while weighing only 2.4 grams. Bluefin will be available to scuba divers, naval forces, and fisheries for marine life tagging. Why it matters: This award recognizes KAUST's contributions to marine research technology and positions the university as a global leader in applying advanced engineering to ecological monitoring.
KAUST Professor Muhammad Mustafa Hussain was elected as an IEEE Fellow for his contributions to flexible and stretchable electronic circuits. Hussain is the principal investigator of the KAUST Futuristic Electronics and Integrated Nanotechnology Lab and the principal ideator of the KAUST FabLab and vFabLab™. His research focuses on transformational electronics, introducing new applications for web-integrated interactive electronics using CMOS-compatible processes. Why it matters: This recognition highlights KAUST's contributions to cutting-edge research in flexible electronics, an area with increasing importance for IoT devices and various applications in robotics, healthcare, and automation.
FalconViz, a KAUST-based startup co-founded by alumnus Luca Passone, specializes in 3D surveying and mapping using unmanned aerial systems. Established in 2015, the company offers services such as topographical surveys, mining assessments, and flood modeling to clients in Saudi Arabia and beyond. KAUST provided FalconViz with early funding, training, and ongoing support. Why it matters: The success of FalconViz highlights KAUST's role in fostering technological innovation and entrepreneurship in Saudi Arabia, contributing to the Kingdom's growing technology sector.
The Kuwait Foundation for the Advancement of Sciences (KFAS) is set to host a scientific lecture in Kuwait featuring Sophia the Robot. This event aims to engage the public and promote scientific understanding of artificial intelligence and robotics. The lecture will highlight advancements in AI technology and its potential societal impact. Why it matters: This initiative demonstrates regional efforts to foster public interest and education in emerging technologies like AI and robotics within the Middle East.
KAUST became an organizational member of the American Academy of Underwater Sciences (AAUS), making it the only entity in Saudi Arabia with the license to provide scientific diver training and certification. KAUST and the Saudi Water Sports & Diving Federation (SWSDF) signed a Memorandum of Understanding to implement policies for scientific diving in the Kingdom. KAUST-trained divers can now dive at other member institutes, facilitating research collaborations. Why it matters: This partnership enhances KAUST's role as a hub for marine research and promotes safe scientific diving practices in Saudi Arabia.
KAUST master's student José Ilton de Oliveira Filho won first place at the IEEE International Sensors and Measurement Systems Student Contest for his smart bracelet and gesture-capturer designed for people with Parkinson's disease. The bracelet assists users in basic activities and creates a database for tracking the disease's involuntary tremors. The bracelet can also control smart TVs and enable smoother application navigation. Why it matters: This project demonstrates KAUST's commitment to developing innovative technologies that address real-world healthcare challenges and improve the quality of life for individuals with special needs.
KAUST recently hosted the European Embedded Control Institute's International Graduate School on Control (IGSC). As part of the event, KAUST Professor Jeff Shamma gave a one-week course on "Game Theory and Distributed Control". The course had over 30 registered attendees, including participants from KAUST, KACST, King Saud University, and nine European universities. Why it matters: Hosting international events like IGSC enhances KAUST's global reputation, fosters collaboration opportunities, and exposes visiting researchers to KAUST's research environment.
Insyab, a startup specializing in collaborative robotics and drone solutions, was founded by KAUST alumnus Dr. Ahmed Bader and KAUST Professor Mohamed-Slim Alouini. Their flagship product, AirFabric™, is a broadband ultra-low-latency wireless connectivity solution enabling teams of unmanned vehicles to collaborate effectively. The technology allows robots to interact in real time and share learning, unlocking a "1+1=3" value proposition. Why it matters: This highlights KAUST's role in fostering deep-tech entrepreneurship and developing innovative solutions for industrial automation in the region.
KAUST and Fugro conducted the first remotely operated vehicle (ROV) training program in Saudi Arabia in 2018 through the KAUST-Fugro Center of Excellence for Marine Technology. The Fugro ROV Academy is accepted by major oil and gas companies, providing KAUST marine science students access to deepwater ROVs and pilot training. KAUST Ph.D. student Lina Eyouni became the first Saudi female ROV pilot through this program. Why it matters: The initiative enhances marine research capabilities in Saudi Arabia, aligning with Vision 2030 by promoting environmental protection and providing students with industry-standard training in robotics.
KAUST alumnus Ronell Sicat (M.S. '10, Ph.D. '15) is developing immersive data visualization tools using augmented and virtual reality (AR/VR). After a postdoc at Harvard, Sicat returned to KAUST as a research scientist in the Visual Computing Center. Sicat developed a tool called DXR to help researchers prototype immersive visualizations. Why it matters: This highlights KAUST's role in fostering talent and innovation in AR/VR, a growing area with applications across various sectors in Saudi Arabia.
KAUST Ph.D. student Khalil Moussi won two awards at the IEEE International Conference on Nano/Micro Engineered and Molecular Systems for his research on a miniaturized drug delivery system. The system, developed in collaboration with KAIMRC, uses 3D printing and wireless power to deliver drugs for coronary artery disease treatment. The device features an electrochemical micro-pump, a 3D printed reservoir with microneedles, and a wireless powering unit, allowing customization for various in vivo drug delivery applications. Why it matters: This recognition highlights KAUST's contributions to biomedical engineering and its potential to develop innovative solutions for critical healthcare challenges in the region and beyond.
A robotics team from KAUST's Robotics, Intelligent Systems, and Control (RISC) lab won the "Best Air Team" special award and the European Global Navigation Satellite Systems Agency special prize at the European Robotics League Emergency Robots Challenge in Sevilla, Spain. The KAUST team, led by Kuat Telegenov and advised by Professor Jeff Shamma, competed against international teams in aerial robotic challenges. The competition aimed to encourage advancements in autonomous capabilities and seamless outdoor/indoor navigation for robots. Why it matters: The awards recognize KAUST's contributions to robotics research and highlight the importance of developing autonomous systems for emergency response and complex environments.