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About

Robert Cupec is a robotics and computer vision researcher whose work spans two compelling domains: vision-guided bipedal locomotion and RGB-D sensing applications. His early research, beginning in the early 2000s, tackled one of legged robotics' most fundamental challenges — establishing effective coordination between visual perception and walking control in humanoid robots. His pioneering experiments in vision-guided biped walking, which together have accumulated over 100 citations, demonstrated practical strategies for navigating structured indoor environments with obstacles, integrating computer vision techniques for reactive adaptation in real time. Cupec later expanded his expertise into 3D sensing and point cloud processing, contributing notable work on fast planar surface SLAM using LiDAR (47 citations) and a nearest-neighbor approach for fruit recognition in RGB-D images (54 citations). Perhaps most distinctively, he applied RGB-D technology to medical imaging, developing systems for chronic wound detection, reconstruction, and measurement using Kinect sensors — work that bridges robotics perception and clinical applications. His mathematical contributions, including a robust least absolute deviations plane-fitting method, further reflect the analytical rigor underlying his research. With consistent impact across robotics, agricultural vision, and medical sensing, Cupec exemplifies interdisciplinary innovation in applied computer vision.