Martin Kleinsorge

Fraunhofer Institute for Production Systems and Design Technology, Technische Universität Berlin

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About

Martin Kleinsorge is a researcher specializing in human-robot interaction, intuitive robot programming, and gesture-based control systems for industrial applications. His work addresses one of the central challenges in modern robotics: making industrial robots more accessible and easier to program through natural, demonstration-based interfaces rather than traditional, complex coding methods. Kleinsorge's most influential contribution, "Spatial Programming for Industrial Robots through Task Demonstration" (2013), has garnered 66 citations and presents a pioneering system combining markerless gesture recognition with mobile augmented reality, enabling users to program robots intuitively through physical demonstration. This work significantly lowers the barrier to entry for robot programming in industrial settings. His earlier work on gesture-based motion control (2011, 17 citations) laid the groundwork for safe, robust, and broadly applicable gesture-driven human-machine interaction in demanding industrial environments. More recently, Kleinsorge explored integrated object and path demonstration, proposing adaptive handling approaches where robot motion is dynamically linked to object identity and haptic guidance. Across his research portfolio, Kleinsorge has consistently advanced the vision of flexible, user-friendly robot programming, making meaningful contributions to the fields of programming by demonstration, augmented reality interfaces, and intelligent industrial automation.