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.
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.
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.
Mingyu Ding from UC Berkeley presented research on endowing robots with human-like commonsense and physical reasoning capabilities. The talk covered multimodal commonsense reasoning integrating vision, world models, and language-based task planners. It also discussed physical reasoning approaches for robots to infer dynamics and physical properties of objects. Why it matters: Enhancing robots with these capabilities can improve their ability to generalize across everyday tasks, leading to greater social benefits and impact.
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.
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.
Egor Zakharov from ETH Zurich AIT lab will present research on creating controllable and detailed 3D head avatars using data from consumer-grade devices. The presentation will cover high-fidelity image-based facial reconstruction/animation and video-based reconstruction of detailed structures like hairstyles. He will showcase integrating human-centric assets into virtual environments for real-time telepresence and entertainment. Why it matters: This research contributes to advancements in digital human modeling and telepresence, with applications in communication and gaming within the region.