MBZUAI concluded its 2025 Undergraduate Research Internship Program (UGRIP), hosting 57 students from 24 countries. The four-week program, held in Abu Dhabi, allowed undergraduates to collaborate with faculty on AI research projects in machine learning, computer vision, and NLP. The 2025 edition had a 4% acceptance rate, with nearly 2,000 applications received. Why it matters: The program highlights MBZUAI's role in attracting global AI talent to the UAE and fostering research collaborations.
MBZUAI's Undergraduate Research Internship Program (UGRIP) is a one-month summer program in Abu Dhabi for promising AI students. Launched in 2023, UGRIP aims to expose undergraduates to AI research and talent development. In 2025, around 60 interns will join the program to work on research projects and receive mentorship from faculty. Why it matters: The program strengthens Abu Dhabi's position as a hub for AI research and attracts global talent.
Researchers present RUR53, an unmanned ground vehicle (UGV) capable of autonomous navigation, object recognition, and tool manipulation. The UGV uses a modular software architecture, enabling it to perform complex tasks like detecting panels, docking, and manipulating tools such as wrenches and valve stems. RUR53 was tested at the 2017 Mohamed Bin Zayed International Robotics Challenge where it ranked third in the Grand Challenge as part of a collaboration. Why it matters: This research demonstrates advanced robotics capabilities applicable to various industrial and inspection tasks, highlighting the UAE's focus on robotics innovation.
MBZUAI welcomed 45 international STEM students to its month-long Undergraduate Research Internship Program (UGRIP), a 32% increase from its second year. The program exposes students to AI research and faculty, attracting applicants from universities like IIT Madras, Harvard, and Yale. Interns worked on AI projects including digital healthcare metaverse prototypes, baby cry analysis, and LLM generalizability. Why it matters: This program helps to foster AI talent and promote the UAE as a global hub for AI research.
This paper presents the synthesis of a 1-DoF six-bar gripper mechanism for aerial grasping, designed for a task in the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020. The synthesis process involves selecting the mechanism class, determining the number of links and joints using algebraic methods, and optimizing link dimensions via geometric programming. The gripper was modeled in CAD software, additively manufactured, and mounted on a UAV with a DC motor for gripping spherical objects. Why it matters: The research contributes to advancements in robotics and aerial manipulation, with potential applications in various industries, particularly for tasks requiring remote object retrieval and manipulation.
MBZUAI hosted 34 undergraduate STEM students from around the world for its inaugural one-month Undergraduate Research Internship Program (UGRIP) in Abu Dhabi. The interns, hailing from countries including the UAE, USA, and India, engaged in ongoing MBZUAI research projects spanning sustainability, education, and healthcare. Interns worked on projects ranging from fake news detection using NLP to tumor diagnosis using computer vision. Why it matters: This program strengthens MBZUAI's position as a global AI research hub and cultivates AI talent within the region.
This paper presents a decentralized multi-agent unmanned aerial system designed for search, pickup, and relocation of objects. The system integrates multi-agent aerial exploration, object detection/tracking, and aerial gripping. The decentralized system uses global state estimation, reactive collision avoidance, and sweep planning for exploration. Why it matters: The system's successful deployment in demonstrations and competitions like MBZIRC highlights the potential of integrated robotic solutions for complex tasks such as search and rescue in the region.
Team NimbRo presented their UGV solution for autonomous wall building and firefighting at the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020. The robot integrates a wheeled omnidirectional base, a 6 DoF manipulator arm with a magnetic gripper, a storage system, and a water spraying system. It uses 3D LiDAR, RGB, and thermal cameras to perceive the environment, pick up boxes, construct walls, and detect/extinguish fires. Why it matters: The work highlights advancements in autonomous robotics for complex tasks relevant to construction and disaster response in the UAE and globally.