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About

Boris Bogaerts is a researcher specializing in robotics, automated inspection systems, and computer vision, with particular expertise at the intersection of robotic path planning and non-destructive testing. His work spans virtual reality integration with robotics simulation, optimization algorithms for inspection planning, and advanced thermography techniques for industrial quality control. Among his most notable contributions is the CoppeliaSim VR Toolbox (2020), which garnered 35 citations by enabling fast prototyping and verification of robotic systems through virtual reality integration — a significant step forward in accessible robot simulation. His gradient-based inspection path optimization approach (2018, 22 citations) demonstrated that complex robotic inspection tasks could be made more efficient through intelligent algorithmic planning, formally connecting the problem to submodular optimization theory. Bogaerts has also made meaningful advances in active thermography for industrial inspection, developing optimized dynamic line scanning methods and multi-camera 4D thermography systems using robotic platforms. These contributions address real-world challenges in detecting structural defects in aircraft and advanced components. With a body of work totaling over 80 citations, his research bridges theoretical robotics with practical industrial applications, making him a valuable reference for students working in robotic automation, inspection engineering, and simulation technology.