Leon Bodenhagen

Leon Bodenhagen is an Associate Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark, where he is affiliated with SDU Robotics. His work bridges theoretical and applied robotics, with a strong emphasis on service and mobile robots in real-world environments such as hospitals and industrial facilities.

• University: University of Southern Denmark
• School: Maersk Mc-Kinney Moller Institute
• Department: SDU Robotics
• Position: Associate Professor

His research interests center on robotics, particularly human-robot interaction, robot navigation, object detection, and reinforcement learning for manipulation tasks. He is deeply involved in developing intelligent systems that can adapt to dynamic environments, with applications in healthcare and industry.

The recent article trends highlight a strong focus on service robotics in healthcare settings, particularly in infection control and staff interaction with robots. His publications also reflect expertise in industrial robotics, including assembly tasks using reinforcement learning and reliable localization of autonomous mobile robots (AMRs). The keywords across his work include robotics, AI, human-robot interaction, and automation, with subfields ranging from Peg-in-Hole assembly to cross-cultural user satisfaction in robot deployment.

Leon Bodenhagen actively mentors PhD students and leads several research projects. He has supervised or is supervising PhD projects such as 'Reliable AMR localization in dynamic industrial environments' and 'Behavior Adaptation for Human-Robot Collaboration'. He is also a key participant in major interdisciplinary projects like HosPiBot and VelKoTek, which aim to improve hospital workflows and dairy farming through robotics. While no specific grants are named, his active involvement in funded research suggests significant grant acquisition and management experience.

He is involved in various labs and research teams centered around SDU Robotics, particularly those focused on social robotics, human-robot collaboration, and applied AI. He co-organized the International Conference on Social Robotics + AI and has led workshops on robots in elderly care and manufacturing. His team contributions include the development of the SMOOTH robot for caregivers and participation in robotic assistants for healthcare staff.