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MBZUAI and Minerva Humanoids announce strategic research partnership to advance humanoid robotics for applications in the energy sector

MBZUAI ·

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’s Robotics Program brings AI to the physical realm for robots that sense, act, and learn in the real world

MBZUAI ·

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.

A Replicable Robotics Awareness Method Using LLM-Enabled Robotics Interaction: Evidence from a Corporate Challenge

arXiv ·

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.

HONOR advances its AI vision at MWC 2026 with robot phone, humanoid robot and magic V6 - Saudi Gazette

Saudi Gazette ·

HONOR showcased advancements in its AI strategy at MWC 2024, featuring a robot phone concept capable of adapting to user needs and a humanoid robot prototype. The company also introduced the Magic V6, integrating AI for enhanced user experiences. Why it matters: This signals increasing investment and innovation in AI-driven mobile devices from Chinese manufacturers, potentially shaping the future of human-device interaction in the region and globally.

Exploring deep-sea exploration

KAUST ·

Stanford's Robotics Laboratory, in collaboration with KAUST professors Khaled Nabil Salama and Christian Voolstra and MEKA Robotics, developed OceanOne, a bimanual underwater humanoid robot avatar with haptic feedback. OceanOne allows human pilots to explore ocean depths with high fidelity by relaying instantaneous images. The robot has two fully articulated arms and a tail section with batteries, computers, and thrusters. Why it matters: This collaboration between KAUST and Stanford highlights the increasing role of robotics and AI in deep-sea exploration, with potential applications in underwater research and resource discovery in the Red Sea and beyond.

Humanoid Robots and the Computational Problems Regarding the Human

MBZUAI ·

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.