Carsten Schilde
Papers
1
Total Citations
2
H-Index
1
About
Carsten Schilde is a leading researcher in particle technology and process engineering, with a primary focus on the simulation and optimization of granular systems. His work bridges computational modeling and experimental validation, particularly in the context of soft robotics and advanced manufacturing. Schilde’s most cited research, “Modelling of the moulding process of a granular-based vacuum gripper with DEM,” introduces a discrete element method (DEM) framework to simulate the behavior of granular materials in vacuum grippers—a key innovation for flexible, shape-adaptive handling in soft robotics. This contribution addresses a critical gap in modeling the molding process of granular grippers, enabling more accurate predictions of grip performance across diverse object geometries. While his citation count is still growing, Schilde’s work stands out for its practical relevance to industrial automation and its integration of computational mechanics with real-world grasping challenges. His achievements include advancing the understanding of granular media dynamics and providing a robust simulation tool that reduces the need for costly physical prototyping. For students and researchers in process engineering and robotics, Schilde’s research offers a compelling example of how DEM can drive innovation in adaptive, soft robotic systems.
Research Focus
Key Achievements
Top Papers
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