Max Robotics — Global Service Robot Directory + US Certification

About

Alessandro Di Fava is a robotics researcher whose work spans social assistive robotics, software engineering for autonomous systems, and human-robot interaction. He has made significant contributions to the development of robots designed to support aging populations and healthcare environments, most notably through his work on ARI, a social assistive robot and companion that has garnered 94 citations and has become a reference point for researchers addressing eldercare challenges through robotics. His investigations into software variability in service robots — reflected in two dedicated publications accumulating over 30 citations — have helped define how modular, adaptable software architectures can address the heterogeneous demands of real-world robotic deployment. Di Fava has also contributed to multi-robot cooperation frameworks, motion retargeting from human to humanoid systems, and kinesthetic teaching enhanced through vibrotactile feedback, demonstrating a broad technical range. His earlier work on autonomous visual navigation and learning from demonstration further underscores a career built on bridging theoretical robotics with practical application. With a cumulative citation count exceeding 200, his research meaningfully advances both the engineering foundations and humanitarian applications of modern service robotics.