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About

Marco Esposito is a pioneering researcher at the intersection of medical robotics, ultrasound imaging, and computer-assisted interventions. His work centers on developing autonomous and cooperative robotic systems that enhance the precision, repeatability, and accessibility of clinical imaging and surgical procedures — fields where human variability has long posed significant diagnostic challenges. Esposito's most impactful contributions lie in robotic ultrasound automation. His landmark 2016 paper on force-compliant robotic screening of abdominal aortic aneurysms (121 citations) demonstrated how intelligent robotic systems could overcome the notorious inter-operator variability that plagues conventional ultrasound diagnostics. This theme continued in his 2021 work on autonomous tubular structure screening (91 citations), which achieved real-time robotic guidance using ultrasound feedback alone — a significant leap toward fully automated vascular imaging. Beyond vascular applications, Esposito has advanced image-guided neurosurgical navigation through 3D ultrasound-based visual servoing (42 citations), multimodal US-gamma imaging for cancer staging biopsies, and even stroke rehabilitation robotics using stereo vision. His more recent exploration of implicit neural representations for breathing-compensated volume reconstruction signals a forward-looking integration of deep learning with robotic imaging. With over 360 cumulative citations, Esposito's body of work is reshaping how intelligent robotic systems support clinical diagnosis and intervention.