Henning Kost

Papers

Total Citations

H-Index

About

Henning Kost is a researcher whose work sits at the intersection of robotics, computer vision, and logistics automation. His primary research focus is the development of 3D vision systems that enable robots to perceive and interact with unstructured environments—specifically, the automatic unloading of shipping containers. Kost’s major contribution lies in tackling the technical challenge of recognizing variably shaped logistic goods using 3D computer vision, a critical step toward replacing manual labor in warehousing and freight handling. His most cited paper, “A 3D-robot vision system for automatic unloading of containers” (2013), has garnered 4 citations and lays the groundwork for integrating gripping technology with real-time visual perception. A second key work, “3D-Computer Vision for Automation of Logistic Processes” (2013), further explores the application of depth-sensing algorithms to industrial logistics. Although his citation counts are modest, Kost’s research addresses a practical bottleneck in supply chain automation, offering foundational insights for students and engineers interested in bridging computer vision with robotic manipulation in real-world, high-variability settings.