Robotics and autonomous systems research from the Gulf region, including work from MBZUAI, Khalifa University, and TII on robot learning and embodied AI.
KAUST, Intel, and Brightskies have launched REDD, a collaborative self-driving mobility platform, converting a conventional car into a self-driving vehicle with integrated AI software. Brightskies developed the self-driving system, powered by Intel® NUC platforms, utilizing their BrightDrive system. KAUST researchers will use the vehicle to test new techniques, leveraging real-world data to improve self-driving technologies. Why it matters: This partnership advances autonomous vehicle research in Saudi Arabia, aligning with the Kingdom's Vision 2030 by creating a platform for innovation and testing in a real-world environment.
KAUST and the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) are collaborating to research the Red Sea's shallow reef and deep-water environments. The partnership utilizes Japanese specialty equipment and the KAUST-owned research vessel RV Thuwal, with funding from the Japanese Ministry of Economy, Trade and Industry (METI) and KAUST. The initiative will address critical data gaps about the Red Sea and provide information for government regulations. Why it matters: This collaboration will advance understanding of the Red Sea's unique environment, relevant to Saudi Arabia's giga-projects and environmental protection efforts.
This paper introduces a self-supervised learning method for point cloud analysis using an upsampling autoencoder (UAE). The model uses subsampling and an encoder-decoder architecture to reconstruct the original point cloud, learning both semantic and geometric information. Experiments show the UAE outperforms existing methods in shape classification, part segmentation, and point cloud upsampling tasks.
KAUST researchers have developed an artificial electronic retina mimicking the behavior of rod retina cells, utilizing a hybrid perovskite material (MAPbBr3) embedded in PVDF-TrFE-CEF. The photoreceptor array, made of metal-insulator-metal capacitors, detects light intensity through changes in electrical capacitance. Connected to a CMOS-sensing circuit and a spiking neural network, the 4x4 array achieved around 70 percent accuracy in recognizing handwritten numbers. Why it matters: This research paves the way for energy-efficient neuromorphic vision sensors and advanced computer vision applications, potentially revolutionizing camera technology.
KAUST researchers are using 3D printing with a novel calcium carbonate ink to create coral support structures that accelerate coral restoration. Their approach, named 3D CoraPrint, involves printing coral microfragments onto the structure, offering a head start for reef recovery. Two methods were developed: printing a mold for reproduction and direct printing for customization. Why it matters: This eco-friendly technique provides a potentially scalable solution to combat coral reef degradation, leveraging advanced materials and fabrication for ecological conservation in the region and beyond.
KAUST is leading a $3.5 million investment in Natufia, an Estonian startup that developed a smart indoor kitchen garden, with $2 million awarded through the KAUST Innovation Fund. Natufia's hydroponic technology allows year-round harvesting of herbs, greens, and vegetables at home, regardless of climate. By taking up residency at the KAUST Research and Technology Park, Natufia aims to expand R&D capabilities and create job opportunities in Saudi Arabia. Why it matters: This investment addresses the challenge of accessing fresh produce in regions like Saudi Arabia while reducing food waste and promoting sustainable agriculture through innovative technology.
Researchers developed a data-driven toolkit for short-term traffic forecasting using high-resolution traffic data from urban road sensors. The method models forecasting as a matrix completion problem, mapping inputs to a higher-dimensional space using kernels and adaptive boosting. Validated using real-world data from Abu Dhabi, UAE, the method outperforms state-of-the-art algorithms.
KAUST has launched self-driving shuttles on its campus, making it the first adopter of autonomous vehicles in Saudi Arabia. The pilot project utilizes vehicle technology from Local Motors and EasyMile. SAPTCO will operate the autonomous shuttles and manage operations with Saudi staff. Why it matters: This initiative advances Saudi Arabia's 2030 Vision and positions KAUST as a regional leader in smart city development and AI research.
KAUST spin-out company NOMADD, which specializes in robotic PV cleaning systems, has secured a Series B investment from Saudi construction company CEPCO. The investment will support NOMADD's project pipeline and growth ambitions, enabling them to scale operations and serve more customers. CEPCO will also advise on technology development and local manufacturing in Saudi Arabia. Why it matters: This investment validates KAUST's innovation fund strategy and supports the deployment of sustainable energy solutions in the region, leveraging local expertise and manufacturing.
KAUST and McLaren Racing have announced a five-year research partnership focused on R&D and extreme performance technology for Formula 1 cars. The collaboration will leverage KAUST's expertise in areas like sensors, electronics, numerical simulations, and fuel/engine combustion research. KAUST researchers will develop new experimental methods, mathematical models, and train students to understand complex systems. Why it matters: This partnership allows KAUST to apply its research to a real-world laboratory (Formula 1), fostering innovation in fuel technology, combustion, sensors, and algorithms with potential spillover effects for the broader automotive and engineering sectors in the region.
KAUST researchers led by Mark Tester are developing new irrigation technology to enable crop production using semi-saline water, aiming to reduce freshwater reliance to 10% in greenhouse systems. The technology is eco-friendly and intends to cut agricultural costs by utilizing seawater, targeting a cost of 10 U.S. cents per cubic meter. A new company named Red Sea Farms is being developed to grow salt-tolerant tomatoes in diluted seawater in a greenhouse cooled with undiluted seawater. Why it matters: This research could significantly reduce pressure on freshwater resources in arid regions and offers a sustainable approach to increase food production using available seawater.
G42 and its portfolio company Analog have signed non-binding Memoranda of Understanding (MoUs) with Advanced Machine Intelligence (AMI Labs), co-founded by AI pioneer Yann LeCun. The agreements, signed during the UAE-France Business Dialogue, focus on frontier AI research, advanced compute infrastructure, sovereign cloud, and industrial applications, specifically the development of 'world models' for physical environments. This collaboration aims to merge AMI Labs' research with G42's AI infrastructure and Analog's Physical Intelligence platform to apply world models across various industries. Why it matters: This partnership signifies a major step in the UAE's pursuit of cutting-edge AI research, particularly in 'Physical Intelligence' and AI's interaction with the real world, reinforcing international technological cooperation between the UAE and France.
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.
MBZUAI has published 674 papers in 2023 and holds a global ranking of 18 in AI, CV, ML, NLP, and robotics according to CSRankings. The university presented 30 papers at ICCV, will present 53 papers at NeurIPS, and has 44 papers at EMNLP 2023. MBZUAI was also awarded its first patent by the US Patent Office for a system and method for handwriting generation. Why it matters: This demonstrates the rapid growth and increasing prominence of MBZUAI as a leading AI research institution in the region and globally.
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 Minerva Humanoids have launched a two-year research partnership to develop humanoid robotics for safety-critical industrial operations, initially focusing on the energy sector. The collaboration aims to create versatile, reasoning-based systems capable of operating with varying degrees of autonomy. MBZUAI students will be integrated into project teams to develop AI models and robotics systems. Why it matters: The partnership advances AI-driven robotics in safety-critical domains, supports the UAE's ambition to become a global hub, and develops local talent.
MBZUAI researchers have developed SVRPBench, a new open benchmark for testing vehicle routing algorithms under real-world conditions. SVRPBench simulates unpredictable urban delivery scenarios including rush-hour traffic, accidents, and customer delivery time preferences. The benchmark uses realistic city models with clustered customer locations, unlike existing deterministic benchmarks. Why it matters: This benchmark offers a more practical evaluation for vehicle routing algorithms, potentially leading to significant cost savings and improved efficiency in logistics within the region and beyond.
MBZUAI researchers have introduced SURPRISE3D, a benchmark for evaluating 3D spatial reasoning in AI systems, along with a 3D Spatial Reasoning Segmentation (3D-SRS) task. The benchmark includes over 900 indoor scenes and 200,000 language queries paired with 3D masks, emphasizing spatial relationships over object naming. A companion paper, MLLM-For3D, explores adapting 2D multimodal LLMs for 3D reasoning. Why it matters: This work addresses a key limitation in current AI, pushing towards embodied AI that can understand and act in 3D environments based on human-like spatial reasoning.
MBZUAI researchers created Open CaptchaWorld, a new benchmark to test AI agents on solving CAPTCHAs. The benchmark includes 20 modern CAPTCHA types that require perception, reasoning, and interactive actions within a browser. While humans achieve 93.3% accuracy, the best AI agent only reaches 40% on the benchmark. Why it matters: This research highlights a critical gap in current AI agent capabilities, as CAPTCHAs are gatekeepers to high-value web actions like e-commerce and secure logins.
MBZUAI researchers tackled the challenge of AI-powered waste detection in messy, real-world recycling facilities. They fine-tuned modern object detection models on real industrial waste imagery and combined this with a semi-supervised learning pipeline. Fine-tuning more than doubled performance and their semi-supervised pipeline outperformed fully supervised baselines. Why it matters: This research offers a practical path for open research that can rival proprietary systems while reducing the need for costly manual labeling in waste management, a problem of global importance.
MBZUAI researchers are developing LAIKA, an autonomous quadruped robot for hazardous industrial environments, integrating vision-language AI models with 360-degree imaging. LAIKA can operate in operator-assist mode via natural language or autonomously to inspect, detect anomalies like leaks, and generate structured reports. The robot is designed for versatile tasks in industrial inspection, emergency response, and facility monitoring, with future versions integrating multi-robot collaboration. Why it matters: This technology demonstrates AI's potential to enhance industrial safety, reduce risks to human workers, and improve response times in critical situations within the region's vital energy and manufacturing sectors.
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 and MIT Schwarzman College of Computing have launched a collaborative research program to advance AI across scientific discovery, human thriving, and planetary health. The program will involve faculty, students, and research staff from both institutions, with projects jointly led by principal investigators from each. The collaboration aims to strengthen AI foundations and accelerate its application to pressing societal challenges, aligning with both MIT's goals and the UAE's mission to become a global AI innovation hub. Why it matters: This partnership between a leading UAE AI university and a top US institution will foster impactful AI research and development, contributing to both regional and global advancements in the field.
A Science Robotics article co-authored by MBZUAI explores the use of AI and robotics to accelerate scientific discovery in chemistry, biology, and materials science. The paper envisions closed-loop labs with AI-designed experiments, robotic execution, and machine learning analysis, potentially cutting discovery timelines. It proposes a framework emphasizing human-machine partnership, modular systems, and AI-driven planning while addressing challenges like data standardization. Why it matters: This research highlights the potential of AI and robotics to transform scientific research in the GCC region and beyond, enabling faster discoveries and democratizing access to advanced lab capabilities.
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.
MBZUAI researchers have developed "Tactile Skills," a new embodied AI framework enabling robots to rapidly learn complex tactile tasks. The framework combines expert process knowledge with reusable tactile control and adaptation components, reducing reliance on extensive datasets. Tested on 28 industrial tasks, the robots achieved nearly 100% success, demonstrating adaptability to changing conditions. Why it matters: This breakthrough offers a practical and scalable approach to robotic automation, potentially transforming robots into adaptable assistants across diverse industries in the GCC.
MBZUAI's VP of Research, Professor Sami Haddadin, and his team at TUM have developed the 'Tree of Robots,' a new framework for categorizing robots based on capabilities and morphology rather than appearance or purpose. This framework uses a Process Database and Metrics Definitions to assess a robot's fitness for specific tasks, resulting in a fitness score and classification within the tree. The research appears in the March 2025 issue of Nature Machine Intelligence. Why it matters: This systematic approach could fundamentally change how we understand, compare, and develop robotic systems, enabling a deeper understanding of intelligent machines and their potential.
MBZUAI has launched a full robotics program focusing on robot learning, humanoid robotics, human-computer interaction, and sensory awareness. The program includes research and teaching labs for experimentation and aims to address challenges in agriculture, logistics, and healthcare. The robotics department, founded in 2023, welcomed 18 students in August and is expected to grow to more than 15 faculty members over the next two years. Why it matters: This program signifies a major investment in AI for physical systems in the UAE, potentially leading to innovations across sectors and strengthening MBZUAI's position as a leading AI research institution.
MBZUAI has established new robotics and computer science departments, launching master’s and Ph.D. programs in each discipline. The new departments will complement MBZUAI’s existing CV, ML, and NLP departments. The robotics department will focus on robot learning and algorithms, while computer science will focus on foundational technologies with an emphasis on entrepreneurship and sustainability. Why it matters: This expansion strengthens the UAE's AI ecosystem and positions MBZUAI as a hub for AI research and innovation, addressing the growing global demand for AI talent.
Researchers in Abu Dhabi developed H-SURF, a swarm of bio-inspired robotic fish for underwater data collection. Funded by the Technology Innovation Institute (TII) and conducted at Khalifa University, H-SURF uses swarm intelligence and optical communication to minimize disturbance to marine life. The project was recently recognized with the Sheikh Hamdan bin Zayed Award for Environmental Research.
King Abdullah University of Science and Technology (KAUST) has developed an artificial intelligence model designed to enhance the efficiency and accuracy of mineral exploration. This new AI tool aims to analyze vast geological datasets to identify potential mineral deposits across the Kingdom. The initiative supports Saudi Arabia's strategic objectives to diversify its economy and strengthen its burgeoning mining sector. Why it matters: This development showcases the application of advanced AI in critical industrial sectors, contributing directly to Saudi Arabia's economic diversification and resource management strategies.
This paper describes the Mission Performance module, an automatic and adaptive system for fully autonomous racing cars, designed to manage longitudinal, lateral, and combined performances. The module guides motion planners and controllers by adapting their target performance to accelerate laptime progression while ensuring safety. Its effectiveness was demonstrated on the EAV-25 Dallara Superformula at the Yas Marina Circuit during the Abu Dhabi Autonomous Racing League (A2RL) Season 2. Why it matters: This research advances autonomous driving capabilities in high-performance racing, showcasing practical AI applications and technological development in the Middle East.
Abu Dhabi has launched a plan to revive its deserts by planting 10 million seeds across designated areas. This large-scale initiative aims to restore native flora and enhance the region's ecological balance. The project is part of a broader strategy to combat desertification and promote biodiversity. Why it matters: Such ambitious environmental projects in the UAE often integrate advanced technologies like AI for optimal planning, monitoring, and execution, demonstrating the region's commitment to sustainable innovation.
The Islamic Revolutionary Guard Corps (IRGC) has claimed to have destroyed a U.S. Unmanned Surface Vessel (USV) depot and an artificial intelligence (AI) center in Bahrain. This alleged destruction reportedly occurred during the 17th wave of its "Operation Nasr 2." The report, published by Islam Times, cited statements from the IRGC regarding these targets. Why it matters: This unverified claim, if true, signifies a significant military escalation with implications for AI infrastructure and geopolitical stability in the Middle East.
The article asserts that robots, despite advancements in artificial intelligence, will not fully replace human bodyguards in the private security sector. Experts highlight that critical human elements such as intuition, complex decision-making, and emotional intelligence remain indispensable for personal protection roles. While AI's role in surveillance and data analysis in security is growing, direct human interaction and nuanced judgment are currently beyond robotic capabilities. Why it matters: This analysis provides insight into the current limitations of AI and robotics in highly sensitive, human-centric occupations, emphasizing the ongoing need for human-AI collaboration rather than complete substitution in certain fields.
OMODA and JAECOO, automotive brands under Chery Automobile, are positioning their AiMOGA robots and VPD smart mobility technologies for deployment in the UAE. The companies presented these solutions as key enablers for the development of future smart cities within the Emirates. This initiative highlights their vision for integrating advanced artificial intelligence and autonomous systems into urban infrastructure. Why it matters: This demonstrates how international automotive and technology firms are aligning their AI and robotics innovations with the UAE's strategic goals for smart urban development.
A new research paper systematically benchmarked two learning-based and two empirical feedforward steering controllers for autonomous racing, introducing a new Empirical Hysteresis Dynamics (EHD) formulation. The study utilized a high-fidelity simulation framework based on the real-world Abu Dhabi Autonomous Racing League competition. While learning-based controllers showed lower prediction errors in open-loop evaluation, the proposed EHD approach achieved the best overall closed-loop robustness and lap times. Why it matters: This research highlights the critical importance of evaluating control strategies within a complete software stack for autonomous racing, directly informing the development for competitions like the AADRL.
A coffee shop in Dubai has introduced a robot barista to serve customers, integrating artificial intelligence into daily consumer services. This initiative demonstrates the practical application of AI and robotics within the hospitality sector in the United Arab Emirates. The robot handles coffee preparation and service, aiming to enhance efficiency and customer experience. Why it matters: This development highlights the growing trend of AI-driven automation in the Middle East's service industries, showcasing Dubai's adoption of advanced technology to reshape daily life and consumer interactions.
UAE Medical Day acknowledged significant advancements within the nation's healthcare sector. The event highlighted qualitative leaps made in the adoption and application of robotic surgery and advanced therapeutic methods. These developments underscore ongoing efforts to enhance medical services and patient outcomes across the Emirates. Why it matters: This demonstrates the UAE's strategic focus on integrating advanced technologies, including AI and robotics, into its healthcare system to improve care and foster medical innovation regionally.
The Technology Innovation Institute (TII) is focusing on swarm autonomy, a modern approach where multiple simpler robots coordinate actions to achieve complex tasks more robustly and cost-effectively. This refined swarm robotics leverages advancements in embedded computing, edge AI, sensing, and communications to enable individual robots to be computationally capable despite being simple to build. This allows for more resilient solutions that deploy artificial intelligence and autonomous decision-making directly at the work site. Why it matters: This research direction positions TII and the UAE at the forefront of advanced robotics, offering potential high-impact applications in sectors like disaster relief, national security, and industrial safety.
A research paper evaluates a challenge-based method for robotics awareness using an LLM-enabled humanoid robot, implemented with employees of AD Ports Group in the UAE. Participants interacted with the robot in a logistics-inspired task environment using voice commands interpreted through an LLM-based control framework. A post-event survey of 102 responses indicated high satisfaction (8.46/10), increased interest in robotics and AI (4.47/5), and improved understanding of human-robot collaboration (4.45/5). Why it matters: This study provides evidence for a replicable method of introducing robotics and embodied AI to non-specialist users in real industrial settings within the UAE, leveraging advanced LLM capabilities.
Technology Innovation Institute (TII) has announced new leadership appointments across multiple research centers. Dr. Elias Tsoutsanis is the Acting Chief Researcher at the Propulsion and Space Research Center (PSRC), and Prof. Enrico Natalizio is the Chief Researcher of the Autonomous Robotics Research Center (ARRC). Other appointments include Dr. Felix Vega as Acting Chief Researcher of the Directed Energy Research Center (DERC), Dr. Victor Mateu as Acting Chief Researcher of the Cryptography Research Center (CRC), and Prof. Vincenzo Giannini as Chief Researcher of the Advanced Materials Research Center. Why it matters: These appointments signal TII's commitment to strengthening its research capabilities and driving technological innovation in key areas, potentially leading to significant advancements in various fields within the UAE and beyond.
Dr. Najwa Aaraj has been appointed as the new CEO of the Technology Innovation Institute (TII), succeeding Dr. Ray O. Johnson. Dr. Aaraj previously served as Chief Researcher at TII's Cryptography Research Center (CRC) and the Autonomous Robotics Research Center (ARRC). TII has 10 research centers specializing in fields like AI, robotics, and quantum technology and is known for the Falcon LLM series. Why it matters: This appointment signals a continued focus on R&D and innovation in Abu Dhabi, reinforcing the UAE's position as a global hub for advanced technology research.
Dr. Reem Ashour from TII's Autonomous Robotics Research Center has been appointed as Secretary of the UAE IEEE Women in Engineering (WIE) leadership committee for 2024-2025. Dr. Ashour collaborated with Dr. Diana Dawoud (University of Dubai) and Dr. Lilas Alrahis (NYUAD) to develop the proposal for the UAE chapter of IEEE WIE. Dr. Ashour will participate in the IEEE WIE International Leadership Summits (ILS) 2024 in Dubai. Why it matters: This appointment highlights the increasing role of women in STEM leadership in the UAE and provides a platform for TII to contribute to global discussions on gender equality in engineering.
Researchers from the Directed Energy Research Center (DERC) will present research papers at the 17th Workshop of the International Lithosphere Program Task Force on Sedimentary Basins in Abu Dhabi. Dr. Meixia Geng's study identifies potential geothermal exploration sites in the UAE based on Curie isotherm depths. Dr. Felix Vega's research demonstrates drone-borne synthetic aperture radar (SAR) for subsurface mapping of underground cavities. Why it matters: These studies showcase the UAE's commitment to sustainable development through geothermal energy exploration and advanced subsurface imaging techniques.
The Secure Systems Research Center (SSRC) won the Best Paper Award at EWSN 2023 for "BLoB: Beating-based Localization for Single-antenna BLE Devices," which introduces a method using concurrent transmissions to localize Bluetooth tags accurately. The system achieves sub-meter accuracy in indoor environments by having multiple anchors transmit simultaneously. A second SSRC paper, "InSight: Enabling NLOS Classification...", was also a runner-up in the Best Paper category. Why it matters: This award highlights the growing research capabilities in IoT and localization technologies within the GCC region, particularly for indoor environments where GPS is unavailable.
A research paper by Fatima Al Nuaimi, Dr. Pietro Tedeschi, and Dr. Enrico Natalizio from the Autonomous Robotics Research Center (ARRC) has been published in IEEE Transactions on Industrial Informatics. The paper, titled “Privacy-Aware Remote Identification for Unmanned Aerial Vehicles: Current Solutions, Potential Threats, and Future Directions”, examines vulnerabilities in UAV Remote ID systems. It identifies challenges for industry and academia in enhancing UAV security and privacy. Why it matters: The research highlights critical security and privacy considerations for the rapidly growing UAV sector in the region and globally.
Dr. Abdelrahman AlMahmoud from the Secure Systems Research Center (SSRC) has been named a founding member of the Emirates Robotic and Automation Society (ERAS). He also joins ERAS's Board of Directors, alongside 20 other members from government, academia, and the private sector. This appointment will help align SSRC's robotics research goals with other entities and strengthen TII's ability to attract talent. Why it matters: This establishes a formal body to advance robotics and automation in the UAE, signaling increased focus and coordination in this sector.
Fatima Ali AlNuaimi from the Autonomous Robotics Research Center (ARRC) had two research papers on brain-computer interface (BCI) technology published at the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022. The papers are titled “Real-time Control of UGV Robot in Gazebo Simulator using P300-based Brain-Computer Interface” and “Secure Password Using EEG-based BrainPrint System: Unlock Smartphone Password Using Brain-Computer Interface Technology”. AlNuaimi is recognized as a young Emirati scientist advancing BCI knowledge in the UAE. Why it matters: This highlights growing BCI research capabilities in the UAE and the contributions of Emirati researchers to this emerging field.
TII-EuroRacing Team, comprised of researchers from TII's ARRC and UNIMORE, is participating in the Indy Autonomous Challenge (IAC) at CES 2023 in Las Vegas. The team will compete with its DO12 racecar, a Dallara AV-21 retrofitted with automation hardware and advanced prototype software. The IAC aims to accelerate the commercialization of fully autonomous vehicles and advanced driver assistance systems. Why it matters: This participation allows TII to test and improve its autonomous vehicle technology in a dynamic environment, contributing to the advancement of autonomous systems in the region.