Max Robotics — Global Service Robot Directory + US Certification

About

Paolo Soda is a researcher whose work sits at the intersection of artificial intelligence, medical imaging, and rehabilitation robotics — fields where his contributions have meaningfully advanced both clinical and engineering practice. He is perhaps best known for his highly cited 2024 review on AI-based methodologies for exoskeleton-assisted lower-limb rehabilitation (73 citations), which synthesized the rapidly growing landscape of robotic and machine learning approaches designed to restore mobility in individuals with physical impairments. This work established him as a leading voice in intelligent rehabilitation systems, a theme he continues to pursue through projects such as AI-CARE and deep learning frameworks for locomotion analysis in wearable exoskeletons. Earlier in his career, Soda demonstrated expertise in supervised pattern recognition applied to human movement detection, and he has also made notable contributions to radiomics — applying machine learning to predict treatment responses in acoustic neuroma patients undergoing CyberKnife radiosurgery. His interdisciplinary reach extends further into cognitive informatics and general AI theory. Across these diverse domains, Soda's body of work reflects a consistent commitment to translating intelligent computational methods into real-world biomedical applications that improve patient outcomes.