Max Robotics — Global Service Robot Directory + US Certification

About

Peter H. N. de With is a leading researcher whose work spans computer vision, medical imaging, and real-time embedded systems. His major contributions lie in advancing 3D reconstruction and surgical guidance, particularly through non-rigid structure-from-motion for catheter tracking during minimally invasive procedures. In medical AI, he has pioneered the use of convolutional neural networks to recognize anatomical structures in intraoperative video, enabling automated prediction of surgical urethral length during robot-assisted prostatectomy. His work on dense point cloud simplification and texturing has addressed the challenge of processing massive 3D datasets from RGB-D SLAM and LIDAR systems. With over 20 citations for his foundational paper on planar simplification, and 15 for his hand-eye camera calibration method using optical tracking, his research has had tangible impact in both robotics and clinical practice. He has also developed ProMARTES, a performance analysis toolkit for real-time distributed systems, and contributed to automated design space exploration for safety-critical architectures. His interdisciplinary approach—bridging computer vision, AI, and real-time systems—has made him a key figure in intelligent medical instrumentation and autonomous robotic guidance.