Lars Muggerud

Papers

Total Citations

H-Index

About

Lars Muggerud is a researcher advancing the frontier of autonomous logistics through mobile robotic manipulation. His work centers on integrating unmanned ground vehicles with mounted manipulators and vision sensors to enable fully autonomous warehouse operations. Muggerud’s key contribution lies in developing systems that combine object detection, pose estimation, and real-time manipulation, allowing robots to autonomously pick, transport, and place items in dynamic warehouse environments. His most-cited paper, “Mobile Robotic Manipulator Based Autonomous Warehouse Operations” (2023), has garnered 4 citations and lays the groundwork for scalable automation solutions that address the growing logistical demands of modern supply chains. By tackling the challenge of merging mobility with precision manipulation, Muggerud’s research directly impacts the efficiency and flexibility of next-generation warehouses. His work is particularly notable for its practical, systems-level approach—bridging computer vision, robotics control, and industrial deployment. As e-commerce and global logistics continue to expand, Muggerud’s contributions offer a promising path toward more adaptive and cost-effective automated material handling.