Papers
6
Total Citations
47
H-Index
4
About
Marco Maratea is a researcher whose work spans artificial intelligence planning, robotics, and applied AI systems, with a particular focus on bridging theoretical AI techniques and real-world robotic applications. His most influential contributions center on automated planning for robot manipulation, especially involving articulated objects in complex three-dimensional environments with physical constraints such as gravity. Through a series of progressively refined studies from 2017 to 2019, Maratea developed sophisticated planning encodings and Answer Set Programming (ASP)-based frameworks that enable dual-arm robots to handle intricate manipulation tasks, work that has collectively garnered significant attention within the robotics and AI planning communities. More recently, Maratea has extended his expertise into construction technology, contributing to a highly cited 2024 study on AI planning-driven digital workflows for 3D printing in robotic construction, which has already attracted 17 citations — underscoring the growing relevance of his methods beyond traditional robotics. He has also engaged with broader AI policy and strategy, participating in the CLAIRE COVID-19 initiative, which brought together European AI researchers to address pandemic-related challenges. Across his career, Maratea exemplifies how formal AI planning methods can be leveraged to solve pressing engineering and societal problems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6