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 MBZUAI Executive Program's fifth module will cover the future of robotics, featuring UC Berkeley Professors Pieter Abbeel and Ken Goldberg. Abbeel will discuss deep learning in robotics, while Goldberg will share insights on robotic technologies in business. The 12-week program aims to support the UAE's AI leadership through education and innovation, with 42 high-level decision-makers participating. Why it matters: By training leaders in AI and robotics, the program can accelerate the adoption of advanced automation technologies across various sectors in the UAE and the broader region.
Yoshihiko Nakamura from the University of Tokyo discusses the computational challenges of humanoid robots, extending beyond sensing and control to understanding human movement, sensation, and relationships. The talk covers recent research on mechanical humanoid robots with a focus on actuators and computational problems related to human movements. Nakamura highlights the need for humanoid robots to interpret human actions and interactions for effective application. Why it matters: Addressing these computational challenges is crucial for developing more sophisticated and human-compatible robots for use in various human-centered applications within the region and globally.
KAUST is developing a robotic system for automated date palm harvesting, combining robotics and AI. The system uses robotic arms with visual sensors to identify and harvest dates, flowers, and tree structures. Field trials are scheduled for the 2025 harvest season, with full operational capability expected within three years. Why it matters: This innovation could transform Saudi Arabia's date farming industry, increasing yields, reducing labor risks, and positioning the country as a leader in agricultural technology.
Lorenzo Jamone from Queen Mary University of London presented on cognitive robotics, focusing on tactile exploration and manipulation by robots. The talk covered combining biology, engineering, and AI for advanced robotic systems. Jamone directs the CRISP group and has over 100 publications in cognitive robotics. Why it matters: This highlights the ongoing research into more sophisticated robotic systems that can interact with complex environments, an area crucial for future applications in manufacturing and human-robot collaboration in the GCC.
Giuseppe Loianno from NYU presented research on creating "Super Autonomous" robots (USARC) that are Unmanned, Small, Agile, Resilient, and Collaborative. The research focuses on learning models, control, and navigation policies for single and collaborative robots operating in challenging environments. The talk highlighted the potential of these robots in logistics, reconnaissance, and other time-sensitive tasks. Why it matters: This points to growing research interest in advanced robotics in the region, especially given the focus on smart cities and automation.
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.
The Autonomous Robotics Research Center (ARRC) at Abu Dhabi’s Technology Innovation Institute (TII) has appointed a board of advisors composed of globally-recognized experts in robotics and autonomous systems. The advisors include professors from Georgia Tech, ETH Zurich, University of Bologna, Vrije Universiteit Amsterdam, NYU, and Czech Technical University. The board will guide ARRC's research into robotics technologies aimed at building hybrid biological and artificial systems. Why it matters: This signals the UAE's continued investment in attracting top international expertise to advance its AI and robotics research capabilities.