Anthony Pietromartire
National Institute of Standards and Technology, Université de Bourgogne
Papers
7
Total Citations
101
H-Index
5
About
Anthony Pietromartire is a researcher specializing in knowledge representation, human-robot collaboration, and intelligent manufacturing systems. His work sits at the intersection of artificial intelligence and robotics, with a particular focus on applying ontological frameworks to real-world industrial environments. Pietromartire has made significant contributions to the field of intention recognition — developing novel approaches that use ontology-based state representations to enable robots to infer human intent during cooperative tasks, a challenge central to safe and efficient human-robot teaming. His 2013 paper on knowledge-driven robotics for kitting applications, his most cited work with 34 citations, demonstrates how structured knowledge can guide robotic systems through complex assembly and parts-sorting tasks in manufacturing settings. Alongside this, his research on intention recognition in manufacturing contexts has garnered 22 citations, reflecting its relevance to the growing field of collaborative robotics. Pietromartire has also contributed practical software tools for translating XML schemas into OWL ontologies, bridging the gap between data formats and semantic knowledge representation. His body of work, developed largely during the early-to-mid 2010s, helped lay foundational groundwork for smarter, context-aware industrial robots operating alongside human workers.
Research Focus
Key Achievements
Top Papers
- 1Knowledge driven robotics for kitting applications34 citations · 2013
- 2Intention recognition in manufacturing applications22 citations · 2014
- 3
- 4Software Tools for XML to OWL Translation13 citations · 2015
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- 7Performance evaluation of knowledge-based kitting via simulation2 citations · 2013