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About

Timon Hoebert is a leading researcher at the intersection of industrial robotics, cyber-physical systems, and sustainable automation. His work centers on developing knowledge-driven frameworks that enable robotic systems to handle the growing complexity of mass customization and electronic waste disassembly. Hoebert’s most influential contribution is a knowledge-driven framework for industrial robotic systems (35 citations), which provides a structured approach for autonomous configuration and decision-making in dynamic manufacturing environments. He further advanced this field with foundational work on knowledge-based cyber-physical systems for assembly automation (29 citations) and cloud-based digital twins for industrial robotics (29 citations), establishing a blueprint for intelligent, self-adapting production lines. More recently, Hoebert has pioneered human–robot collaboration in disassembly, integrating digital twin and virtual reality technologies to safely and efficiently process end-of-life electronics (14 citations). His ongoing work on ROS-driven disassembly planning with automated screw detection addresses the critical challenge of heterogeneous e-waste environments. With a cumulative impact exceeding 100 citations, Hoebert is shaping the future of flexible, sustainable, and human-centric industrial automation.