David De Schepper
Papers
5
Total Citations
56
H-Index
4
About
David De Schepper is a researcher working at the intersection of human-robot collaboration and nuclear decommissioning technologies, two domains where his contributions are beginning to make a meaningful mark. His most recognized work focuses on human-robot mobile co-manipulation, particularly for handling non-rigid and flexible materials in dynamic industrial environments. By fusing force-torque sensor data with skeleton tracking, De Schepper has developed robust frameworks that enable robots to work safely and intuitively alongside human operators — a challenging problem as industrial robots increasingly operate outside traditional caged settings. His 2021 paper on this topic has accumulated 30 citations, reflecting strong interest from the robotics community. Beyond human-robot interaction, De Schepper has expanded into radiological characterization and nuclear decommissioning, developing semi-autonomous robotic platforms and innovative gamma-ray detection systems. His work combining Compton imaging with 3D LiDAR for hotspot localization represents a novel approach to mapping radioactive environments efficiently and safely. His research on minimizing detection time using CZT spectrometers further demonstrates a commitment to practical, field-deployable solutions. Collectively, his work bridges advanced robotics with real-world safety-critical applications, offering valuable tools for industries navigating both human collaboration and hazardous environments.
Research Focus
Key Achievements
Top Papers
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