Alessio Capitanelli
Papers
9
Total Citations
65
H-Index
4
About
Alessio Capitanelli is a robotics and artificial intelligence researcher whose work spans automated planning, human-robot collaboration, and the integration of symbolic reasoning with modern AI techniques. His research has made notable contributions to the challenge of manipulating articulated objects — a notoriously complex problem in robotics — through a series of increasingly sophisticated planning frameworks, including Answer Set Programming (ASP)-based approaches for dual-arm robotic systems and 3D manipulation under gravity constraints. These foundational works, published between 2017 and 2019, established him as a thoughtful contributor to knowledge representation and reasoning in robotic contexts. More recently, Capitanelli has pushed toward the frontier of neurosymbolic AI, developing frameworks that combine large language models with symbolic task planning to improve robot autonomy in dynamic, real-world human-robot cooperation scenarios — work that has already garnered 14 citations since its 2024 publication. His most-cited paper explores AI-driven digital workflows for 3D printing in robotic construction, reflecting a creative expansion into fabrication technologies. His early contribution to the ARMOR ontology service further demonstrates his commitment to building scalable, interoperable infrastructure for intelligent robotic systems. Across his career, Capitanelli consistently bridges theoretical AI planning with practical robotics deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9