Owen McAree
Papers
7
Total Citations
140
H-Index
6
About
Owen McAree’s research sits at the intersection of collaborative robotics, human-robot interaction (HRI), and autonomous systems, with a strong emphasis on safety, trust, and real-world deployment. His most influential work, a ROS-integrated API for the KUKA LBR iiwa collaborative robot (43 citations), directly addresses the Industry 4.0 need for rapid, safe programming of human-robot teams, providing a foundational tool for flexible manufacturing. McAree has also made significant contributions to understanding trust in HRI, with a highly cited paper (35 citations) that synthesizes factors from multiple disciplines to frame how context and individual differences shape trust—a critical insight for designing robots that work alongside people. His work extends to safety verification for semi-autonomous drones (27 citations), where he developed a model-based design framework for inspection tasks. Beyond these core contributions, McAree has explored helping behaviors toward robots and autonomous vehicle systems, demonstrating a broad commitment to making robots more capable, trustworthy, and naturally integrated into human environments. His research consistently bridges technical development with human-centered considerations, making him a key voice in the push toward reliable, collaborative robotic assistants.
Research Focus
Key Achievements
Top Papers
- 1A ROS-integrated API for the KUKA LBR iiwa collaborative robot43 citations · 2017
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- 5Development of a generic network enabled autonomous vehicle system7 citations · 2014
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- 7Floor determination in the operation of a lift by a mobile guide robot5 citations · 2015