Papers
23
Total Citations
369
H-Index
12
About
Sebastian Schlund is a leading researcher at the intersection of human-robot collaboration, collaborative robotics (cobots), and industrial digitalization. His work fundamentally addresses one of manufacturing's most pressing challenges: enabling seamless, safe, and accessible integration of cobots into real-world production environments. Schlund's most influential contributions include pioneering participatory and voice-based programming models that democratize cobot technology, making it accessible to workers without specialized coding knowledge — a paradigm shift from traditional imperative programming approaches. His empirical investigations into worker preferences for human-robot task assignment and adaptive task-sharing frameworks have garnered over 44 and 33 citations respectively, shaping how organizations design collaborative workflows. Schlund has also made critical contributions to cobot safety, examining cybersecurity vulnerabilities and collision impact parameters in shared workspaces. His research extends into learning factories and adaptive education, developing frameworks for cobot training that empower the broader workforce. With over 290 cumulative citations across his top works, Schlund's scholarship bridges technical robotics research with human-centered design principles, making him an essential voice for students and practitioners navigating the evolving landscape of smart manufacturing and Industry 4.0.
Research Focus
Key Achievements
Top Papers
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- 4Adaptive Task Sharing in Human-Robot Interaction in Assembly33 citations · 2020
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- 6Programming cobots by voice: A human-centered, web-based approach31 citations · 2021
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