Khadidja Himri

Papers

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About

Khadidja Himri is a researcher advancing the frontier of autonomous underwater robotics, with a focus on enabling robots to perceive and interact with their environment in complex subsea settings. Her work sits at the intersection of computer vision, semantic mapping, and robotic manipulation. In her highly cited 2018 paper, "Object Recognition and Pose Estimation using Laser scans For Advanced Underwater Manipulation," she tackled the challenge of integrating 3D spatial data with semantic knowledge, allowing underwater vehicle-manipulator systems to recognize objects and estimate their pose for autonomous intervention missions. Building on this, her 2021 paper on "Semantic Mapping for Autonomous Subsea Intervention" introduced a method that fuses feature-based SLAM with 3D object recognition to create semantic maps of submerged man-made structures, such as pipe networks. This work directly supports autonomous navigation and manipulation in environments where GPS is unavailable. With over 13 combined citations, Himri’s contributions are foundational for the next generation of intelligent underwater robots, offering practical solutions for inspection, maintenance, and repair tasks in offshore industries. Her research is a key step toward making autonomous subsea intervention a reliable reality.