Emmanouil Kampourakis
Papers
7
Total Citations
127
H-Index
5
About
Emmanouil Kampourakis is a robotics and automation researcher whose work sits at the intersection of human-robot collaboration, deformable object manipulation, and intelligent manufacturing systems. His research addresses one of industrial automation's most persistent challenges: enabling robots to handle flexible, non-rigid materials such as textiles, fabrics, and composites — processes that have historically resisted automation due to the unpredictable dynamics of deformable objects. Kampourakis has made significant contributions through model-based motion planning and closed-loop control frameworks that empower robots to co-manipulate flexible materials alongside human operators, as demonstrated in his widely cited 2022 and 2021 papers (34 and 17 citations respectively). His 2023 automotive case study (40 citations) extended this work to high-payload collaborative robotics, tackling real-world ergonomic challenges on the factory floor. Beyond manipulation, he has advanced cyber-physical systems for calibrating deformable object reconstruction models and developed multi-tool end-effectors for composite layup processes. More recently, his focus has shifted toward reconfigurable, service-oriented manufacturing architectures leveraging artificial intelligence for plug-and-produce environments. Collectively, his publications reflect a coherent research vision: making human-robot collaboration genuinely viable across the full complexity of modern industrial manufacturing.
Research Focus
Key Achievements
Top Papers
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- 3Model-Based Robot Control for Human-Robot Flexible Material Co-Manipulation17 citations · 2021
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