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'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.
The inaugural Abu Dhabi AI-Robotics Conference was held at MBZUAI, focusing on AI-powered robotics to transform healthcare. Experts explored applications in microsurgery, biorobotics, and personalized treatment, with keynotes from H.E. Abdulla Abdulalee AlHumaidan, Timothy Baldwin, and Sami Haddadin. Dr. Hassa Al Mazrouei highlighted the potential for personalized care and automation driven by AI. Why it matters: The conference underscores the UAE's commitment to advancing AI and robotics in healthcare, potentially positioning the region as a leader in innovative medical technologies.
MBZUAI will showcase AI applications for energy transformation at ADIPEC 2025 in Abu Dhabi, highlighting technologies for safety, efficiency, and competitiveness. Demonstrations will include intelligent cooling, autonomous inspection robotics, and AI-powered decision support. Sami Haddadin emphasizes AI's role as critical infrastructure, while Ramzi Ben Ouaghren notes its role in enabling a sustainable energy future. Why it matters: This participation underscores the UAE's commitment to leveraging AI for global impact in the energy sector, promoting innovation and technology transfer.
MBZUAI will present robotics research and solutions at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) in Abu Dhabi from October 14-18. Professors Yoshihiko Nakamura and Sami Haddadin, renowned robotics experts, lead MBZUAI's robotics initiatives. MBZUAI will be located at Booth 6 at ADNEC. Why it matters: Showcasing MBZUAI's commitment to becoming a global leader in AI and robotics research, attracting top talent and fostering interdisciplinary collaboration in the UAE.
MBZUAI is launching a six-day intensive AI executive program (MEP-A) in Abu Dhabi in October, condensing its popular MBZUAI Executive Program (MEP). The program includes lectures, site visits, and networking, covering the UAE’s AI strategy, AI fundamentals, and industry case studies. Instructors include Eric Xing, Michael Jordan, and Sami Haddadin. Why it matters: This program offers executives a concentrated opportunity to gain insights into AI strategy and implementation from leading global minds, fostering AI adoption in the region.
Sami Haddadin from the Technical University of Munich (TUM) discusses a shift in robotics towards machines that autonomously develop their own blueprints and controls. He highlights advancements driven by human-centered design, soft control, and model-based machine learning, enabling human-robot collaboration in manufacturing and healthcare. Haddadin also presents progress towards autonomous machine design and modular control architectures for complex manipulation tasks. Why it matters: This research has implications for advancing robotics and AI in the GCC region, especially in manufacturing and healthcare, by enabling safer and more efficient human-robot collaboration.