Jan Niklas Haus

Papers

Total Citations

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About

Jan Niklas Haus is a researcher advancing human-robot collaboration in industrial manufacturing, with a focus on intuitive programming and physical human-robot interaction (pHRI). His key research areas include tactile sensing, gesture-based robot control, and low-cost sensor design for industrial manipulators. Haus’s most cited work, “Exploring tactile surface sensors as a gesture input device for intuitive robot programming” (2016, 12 citations), addresses a critical barrier to automation—the lack of efficient programming paradigms—by demonstrating how tactile surface sensors (TSS) can enable natural gesture inputs, allowing workers to program robots without specialized expertise. In a complementary study, “Material comparison and design of low cost modular tactile surface sensors for industrial manipulators” (2016, 7 citations), he tackles the prohibitive cost of tactile sensor matrices, systematically comparing materials to develop affordable, modular alternatives that maintain reliable contact management. Together, these contributions highlight Haus’s commitment to democratizing industrial robotics: his work reduces both technical and financial barriers, making collaborative robots more accessible in small-to-medium manufacturing environments. By integrating tactile sensing with intuitive interfaces, Haus helps bridge the gap between human dexterity and robotic precision, fostering safer, more efficient workspaces. His research is particularly valuable for engineers and students seeking practical, scalable solutions for pHRI.