Max Robotics — Global Service Robot Directory + US Certification

About

Angelo Oddi is a leading researcher in artificial intelligence, robotics, and automated planning, with a particular focus on developing intelligent systems for assistive and domestic care. His most influential work centers on the RoboCare project, a pioneering initiative launched in 2002 that integrated software agents, robots, intelligent sensors, and human caregivers to support elderly individuals. The project's foundational paper, "RoboCare: an Integrated Robotic System for the Domestic Care of the Elderly," has garnered 41 citations, establishing Oddi as a key figure in ambient assisted living. He has also made significant contributions to constraint reasoning and scheduling, notably through his work on "Solver Learning for Predicting Changes in Dynamic Constraint Satisfaction Problems," which integrates machine learning with constraint-based systems to handle incomplete information. His research on synthesizing robust partial-order schedules via goal separation has advanced the field of automated planning. More recently, Oddi has explored curiosity-driven robots and the grounding of PPDDL plans for social environments, demonstrating a sustained commitment to making autonomous systems more adaptive and human-centric. With a career spanning two decades, his work continues to shape the intersection of AI, robotics, and caregiving.