Max Robotics — Global Service Robot Directory + US Certification

About

Mauro Vallati is a researcher whose work spans automated planning, robotics, and intelligent systems, with a particular focus on applying planning techniques to real-world challenges. His most prominent contributions lie in the domain of robot manipulation, where he has developed sophisticated automated planning encodings and frameworks — including ASP-based approaches — for handling articulated objects in complex 3D environments with physical constraints such as gravity, even extending this work to dual-arm robotic systems and human-robot cooperation scenarios. Vallati has also made meaningful advances in core planning methodology, introducing the concept of critical section macro-operators to improve domain-independent planning performance. By rethinking how macros are generated — moving beyond simple action-frequency heuristics — his work offers more principled "shortcuts" through planning state spaces, a contribution elaborated across multiple publications from 2019 to 2022. Notably, he has demonstrated the breadth of automated planning's applicability by tackling athlete training plan generation, showcasing how AI planning tools can address highly individualized, real-world scheduling problems in sports coaching. With cumulative citations across his key works reflecting steady community engagement, Vallati represents a researcher bridging theoretical planning innovation with impactful applied deployment.