This paper presents two robotic systems developed for the MBZIRC 2020 competition, designed for autonomous wall construction. The systems utilize a UGV with 3D LiDAR for precise brick pose estimation and a UAV employing real-time visual servoing. The authors report results from the competition and lab experiments, discussing lessons learned from the autonomous wall-building task. Why it matters: The work highlights advancements in mobile manipulation and autonomous robotics, with potential applications in construction and infrastructure development in the region.
MBZUAI M.Sc. graduate Shamma Al Saedi won the Ministry of Education Entrepreneurship Challenge prize for her startup, Limb, an AI-powered physiotherapy system. The Limb app uses a personalized 3D model and pose estimation to correct patient posture and provide feedback, while the Limb API allows physiotherapists to monitor patient progress. Al Saedi credits MBZUAI's Incubation and Entrepreneurship Center (IEC) for providing knowledge, access to talks, and networking opportunities that helped her develop the startup. Why it matters: This highlights the potential of AI and entrepreneurship programs within UAE universities to foster innovative healthcare solutions and support local talent.
A researcher at the University of Oxford presented new findings on 3D neural reconstruction. The talk introduced a dataset comprising real-world video captures with perfect 3D models. A novel joint optimization method refines camera poses during the reconstruction process. Why it matters: High-quality 3D reconstruction has broad applicability to robotics and computer vision applications in the region.