Konrad P Cop

Commonwealth Scientific and Industrial Research Organisation, Technical University of Munich

Papers

Total Citations

133

H-Index

About

Konrad P. Cop is a leading researcher in mobile robotics and autonomous systems, with a primary focus on place recognition and sensor evaluation for precise robotic applications. His most influential work, "Delight: An Efficient Descriptor for Global Localisation Using LiDAR Intensities" (2018, 105 citations), introduces a novel approach to solving the "wake-up" and "kidnapped robot" problems by leveraging LiDAR intensity data for efficient global localization—a critical capability for robots operating without prior position information. This contribution has become a foundational reference in the field of LiDAR-based place recognition. Cop has also made significant strides in industrial robotics through his work "New Metrics for Industrial Depth Sensors Evaluation for Precise Robotic Applications" (2021, 28 citations), where he developed a systematic framework for assessing depth sensor performance, enabling engineers to select optimal sensors for high-precision tasks. His research bridges the gap between theoretical localization algorithms and practical sensor deployment, directly impacting the reliability of autonomous systems in manufacturing and field robotics. With a growing citation record and a reputation for rigorous sensor benchmarking, Cop continues to advance the state of the art in robust, real-world robotic perception.