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About

Morten Larsen is a leading researcher in field robotics and autonomous systems, with a focus on precision agriculture and safety-critical mobile robot operations. His work bridges the gap between agricultural technology and robust software engineering, addressing key challenges in open-field environments. Larsen's most influential contribution is his 2014 paper "Towards an Open Software Platform for Field Robots in Precision Agriculture," which has garnered 51 citations and advocates for modular, open-source frameworks to enhance competitiveness and sustainability in crop production. He has also made significant strides in robot safety, with two papers—"Towards Rule-Based Dynamic Safety Monitoring for Mobile Robots" (30 citations) and its 2016 follow-up (21 citations)—proposing isolated, rule-based safety layers for unpredictable environments. More recently, Larsen has explored 5G-enabled cloud planning for autonomous mobile robots, as seen in his 2021 work (16 citations), which examines how edge computing can improve coordination in industrial settings. His technical modeling of field robot software using AADL further demonstrates his expertise in analyzing extra-functional properties like bandwidth and latency. With a cumulative citation count exceeding 120 across his top papers, Larsen's research is shaping the future of safe, efficient, and scalable robotic systems in agriculture and beyond.