Max Robotics — Global Service Robot Directory + US Certification

About

Randa Almadhoun is a leading researcher in autonomous robotics, specializing in multi-robot systems, coverage path planning (CPP), and 3D reconstruction for structural inspection. Her seminal survey, “A survey on multi-robot coverage path planning for model reconstruction and mapping” (2019, 172 citations), is a cornerstone reference, systematically analyzing algorithms for deploying robot teams to map large, complex environments—critical for applications like firefighting and industrial inspection. She further advanced the field with her 2021 work on “Multi-Robot Hybrid Coverage Path Planning for 3D Reconstruction of Large Structures” (20 citations), which introduced efficient strategies to reduce time and energy consumption in autonomous coverage tasks. Her earlier contributions include a GPU-accelerated CPP algorithm (2016, 12 citations) optimized for high-accuracy 3D modeling of structures such as aircraft and bridges, directly addressing the need for precise, detail-oriented robotic inspection. Most recently, Almadhoun has ventured into event-based vision with “E-POSE: A Large Scale Event Camera Dataset for Object Pose Estimation” (2025, 4 citations), providing a vital resource for robotic grasping and manipulation. Her work consistently bridges theoretical planning with practical deployment, earning her recognition as a key innovator in autonomous systems for hazardous and labor-intensive environments.