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About

Mathias Haage is a prominent robotics researcher whose work sits at the intersection of industrial automation, human-robot interaction, and knowledge-based systems for flexible manufacturing. Based at Lund University, his research has consistently tackled one of modern industry's most pressing challenges: making industrial robots accessible, adaptable, and economically viable—particularly for small and medium-sized enterprises (SMEs). Haage's most influential contribution, "Cost-efficient drilling using industrial robots with high-bandwidth force feedback" (2009), has garnered 153 citations and demonstrated how advanced force control can dramatically improve robotic precision in demanding manufacturing tasks. His involvement in the EU-funded SMErobotics project (107 citations) further cemented his reputation, advancing smart, reconfigurable robot solutions capable of meeting the agility demands of modern production environments. A recurring theme throughout his career is the democratization of robot programming. Whether through teaching by demonstration, iconic programming interfaces, or ontology-based knowledge frameworks, Haage has pioneered approaches that empower non-expert users to configure and reprogram robots with minimal effort. His knowledge integration and skill reusability frameworks have laid important groundwork for next-generation adaptive automation systems. With over 500 cumulative citations, his body of work continues to shape the trajectory of intelligent, human-centered industrial robotics.