Max Robotics — Global Service Robot Directory + US Certification

About

A.M. Sabatini is a multidisciplinary researcher whose work spans biomedical engineering, robotics, and sensor systems, with particular expertise in human motion sensing, assistive robotics, and ultrasonic signal processing. Among his most influential contributions is his 2011 work on estimating three-dimensional human body orientation using inertial and magnetic sensing units, which has garnered over 330 citations and remains a cornerstone reference for researchers developing wearable motion-tracking systems in healthcare, virtual reality, and robotics. His career reflects a sustained commitment to assistive technology for elderly and disabled populations, demonstrated through landmark projects such as the EU-funded MATS climbing robot and the I-Support bathing robot platform—both addressing real-world caregiving challenges through innovative mechatronic solutions. Earlier in his career, Sabatini made foundational contributions to ultrasonic sensing for mobile robotics, developing novel correlation-based signal processing methods, proximity sensor arrays, and sonar-based localization and people-recognition systems that significantly advanced autonomous robot navigation. More recently, his research has embraced machine learning, evidenced by the SofToss project applying deep reinforcement learning to soft robot control. Across three decades, Sabatini's work demonstrates a rare breadth, consistently bridging fundamental sensing research with practical, human-centered applications.