Max Robotics — Global Service Robot Directory + US Certification

About

Khashayar Asadi is a pioneering researcher at the intersection of robotics, computer vision, and construction automation, whose work has fundamentally advanced how autonomous systems monitor and interact with built environments. His research focuses on mobile robotic systems, unmanned aerial and ground vehicles (UAVs and UGVs), simultaneous localization and mapping (SLAM), and real-time scene understanding for construction site applications. Asadi's most celebrated contribution is his development of integrated UAV-UGV systems for automated construction site data collection, a 2020 paper that has garnered over 229 citations and established a new benchmark for collaborative aerial-ground robotics in industry settings. His earlier vision-based mobile robotic frameworks, cited over 131 times, laid crucial groundwork for autonomous navigation and real-time construction monitoring. Beyond data collection, his research extends to automated object manipulation using mobile platforms — moving the field beyond static robotic systems — and lightweight neural network architectures like LNSNet, designed for efficient navigable space segmentation on resource-constrained embedded platforms. Collectively, Asadi's contributions have helped transform construction sites into environments where intelligent, mobile robots can operate autonomously, significantly reducing reliance on manual data collection and opening new frontiers in construction automation and safety.