Jan Jungbluth

Trier University of Applied Sciences, University of Luxembourg

Papers

Total Citations

H-Index

About

Jan Jungbluth is a pioneering researcher in intelligent human-robot collaboration, with a focus on sustainable disassembly and intuitive human-machine interfaces. His work centers on developing autonomous robot systems that can work fluently alongside humans, particularly in complex disassembly processes for recycling and remanufacturing. His most cited paper, "An Intelligent Agent-Controlled and Robot-Based Disassembly Assistant" (2017, 16 citations), introduced a groundbreaking software agent that grants robots higher autonomy and intelligence, enabling seamless human-robot collaboration in disassembly tasks. This work is foundational for creating efficient, adaptive robotic assistants that can respond intelligently to human actions. Jungbluth also explores the integration of consumer technologies into robotics, as demonstrated in his study "Combining Virtual and Robot Assistants" (2018, 8 citations), where he successfully integrated Amazon's Alexa as a natural language voice interface for robot control. This innovative approach bridges the gap between everyday virtual assistants and industrial robotics, making robot interaction more accessible. His research is critical for advancing sustainable manufacturing and intuitive human-robot teamwork, with growing impact in both academic and industrial contexts.