Paul Lubos

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About

Paul Lubos is a leading researcher at the intersection of mixed reality (MR) and human-robot interaction (HRI), with a focus on developing intuitive, natural interfaces for controlling and collaborating with co-located robotic systems. His most impactful work, "Comparison of Multimodal Heading and Pointing Gestures for Co-Located Mixed Reality Human-Robot Interaction" (2018, 73 citations), pioneers the use of see-through head-mounted displays like the Microsoft HoloLens to enable operators to seamlessly command robots through gesture-based commands, bridging the gap between virtual and physical workspaces. This research has become a foundational reference for designing multimodal HRI systems that prioritize user experience and real-time control. Lubos also explores the challenge of defining 3D movements for modular robots, as demonstrated in his work "Natural 3D Interaction Techniques for Locomotion with Modular Robots" (2015), where he develops user interfaces that allow non-experts to intuitively control complex robotic locomotion without computationally expensive algorithms. His contributions are particularly notable for advancing accessible, real-time interaction paradigms that empower operators to work alongside robots in dynamic, co-located environments—a critical step toward practical MR-assisted manufacturing, search-and-rescue, and collaborative robotics.