Max Robotics — Global Service Robot Directory + US Certification

About

Martin Gromniak’s research sits at the critical intersection of robotics, medicine, and artificial intelligence, with a primary focus on developing autonomous systems for safe, high-precision medical interventions. His most impactful work addresses the urgent need for robotic tissue sampling in infectious corpses, a contribution that proved vital during the COVID-19 pandemic by enabling safe post-mortem biopsies without risking disease transmission to medical personnel. This work, his most cited with 16 citations, is complemented by significant advances in robotic needle insertion, where he has developed proximity-based haptic feedback and deep learning models for needle tip force estimation from spectral OCT data, dramatically improving placement accuracy for procedures like epidural anesthesia. Gromniak has also pushed the boundaries of explainable AI in robotics, using reward decomposition to make the behavior of deep reinforcement learning agents more transparent to human operators. His broader contributions span mobile robot navigation, obstacle avoidance in biopsy planning, and even deep learning for EEG electrode detection. Through this diverse portfolio, Gromniak has established himself as a leading figure in medical robotics, demonstrating how intelligent autonomous systems can enhance both the safety and efficacy of critical clinical procedures.