Hjalte Durocher
Papers
2
Total Citations
100
H-Index
2
About
Hjalte Durocher is a robotics researcher whose work bridges intelligent automation and large-scale engineering systems. His primary research areas include deep learning for robotic perception, collaborative mobile manipulation, and remote handling for fusion energy maintenance. Durocher’s most impactful contribution is his work on learning-based object detection and localization for mobile robot manipulators in small and medium-sized enterprises (SMEs), which has garnered 97 citations. This research demonstrates how deep learning on 3D point clouds can enable flexible, autonomous production in settings where traditional automation is cost-prohibitive. More recently, Durocher has ventured into the demanding domain of fusion energy, designing a spatial five-bar linkage as a tilting joint for the breeding blanket transporter in the EU DEMO reactor. This mechanism supports the vertical maintenance of segmented tritium-breeding blankets, a critical challenge for future fusion power plants. His work showcases a rare versatility—applying robotic innovation from factory floors to the frontiers of clean energy. Durocher’s contributions are shaping both the practical deployment of collaborative robots in industry and the remote handling systems essential for next-generation fusion reactors.
Research Focus
Key Achievements
Top Papers
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