Papers
1
Total Citations
2
H-Index
1
About
Marc A. Riedlinger is a researcher focused on the intersection of distributed computing, robotics, and Digital Twin technologies within the Industry 4.0 paradigm. His most-cited work, "Concept for a Distributed Picking Application Utilizing Robotics and Digital Twins" (2022), introduces an innovative framework where computer vision systems enable robots to detect and grasp objects—such as toy bricks—through a distributed, digitally twinned environment. This concept advances smart manufacturing by integrating real-time data, virtual models, and autonomous robotic control to enhance flexibility and efficiency in material handling. While his citation count is still growing, Riedlinger’s contribution lies in bridging theoretical Digital Twin architectures with practical robotic applications, offering a scalable blueprint for future automated warehouses and production lines. His work underscores the potential of distributed intelligence in industrial settings, making him a notable emerging voice in the fields of cyber-physical systems and intelligent automation.
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Top Papers
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