Martin J. Kollingbaum
Papers
2
Total Citations
9
H-Index
2
About
Martin J. Kollingbaum is a leading researcher at the intersection of human-robot interaction and intelligent manufacturing, with a primary focus on enabling safe, efficient collaboration between humans and robotic systems. His work addresses critical challenges in close-proximity human-robot environments, particularly through novel perception systems and task scheduling algorithms. In his highly cited 2024 paper, Kollingbaum introduced a groundbreaking 3D pose estimation system using a single fisheye camera mounted directly on the robot, providing a robot-centric field-of-view that significantly enhances pose recognition accuracy during close interaction—a contribution that has already garnered 6 citations. His 2025 work tackles the complex scheduling demands of zero-defect manufacturing, developing an innovative approach to task scheduling for end-of-line quality assurance with human-robot cooperation, where workpieces may require multiple inspection and rework cycles. This research addresses the unique challenges of dynamic rework scheduling in industrial settings, earning 3 citations. Kollingbaum’s contributions are particularly notable for their practical applicability in real-world manufacturing environments, bridging the gap between theoretical robotics and industrial implementation. His work continues to shape the future of collaborative robotics, making him a key figure in advancing Industry 4.0 technologies.
Research Focus
Key Achievements
Top Papers
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