Parsha Pahlevannejad

German Research Centre for Artificial Intelligence

Papers

Total Citations

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About

Parsha Pahlevannejad is a leading researcher in the intersection of industrial robotics, human-robot collaboration, and smart manufacturing. Their work centers on making factories safer and more efficient through intelligent systems that understand and assist human workers. A key contribution is the development of an ontology-based digital twin framework for smart factories, which provides a unified, semantic model to coordinate diverse subsystems—from worker-assistance platforms to collaborative robots. This foundational work, cited 6 times, enables seamless data sharing and context awareness across the factory floor. Pahlevannejad’s research on object detection for human-robot interaction (7 citations) tackles the real-world challenges of cluttered, dynamic industrial environments, offering practical solutions for worker assistance systems. More recently, they have advanced the field with a skill-based multi-agent control approach for safe human-robot collaboration (3 citations) and a context-aware robotic assistance system that uses intention recognition and semantic digital twins to proactively support workers (2 citations). These contributions are shaping the next generation of adaptive, human-centric automation, directly addressing the high safety and integration costs that have long hindered robotic deployment in production.