Enrico Motta
Papers
10
Total Citations
233
H-Index
6
About
Enrico Motta is a prominent researcher whose work sits at the intersection of robotics, artificial intelligence, and knowledge representation. His research spans several interconnected domains, including human-robot interaction, smart city robotics, knowledge graphs, and ontology-based systems, with a particular focus on making robotic technologies more accessible and practically deployable in real-world environments. Among his most influential contributions is a comprehensive landscape analysis of robots for elderly care (2021, 82 citations), which critically examined decades of in-home assistive robotics and offered co-design tools to bridge the gap between prototype and practice. Equally significant is his foundational work on Robot–City Interaction (2019, 58 citations), which mapped an emerging research field exploring how robots integrate into complex urban environments. His 2023 paper on conversational agents and knowledge graphs within scholarly domains (40 citations) reflects his sustained interest in intelligent information systems. Motta has also advanced robot accessibility through ontology-based frameworks and user-friendly interfaces for ROS platforms, demonstrating a consistent commitment to lowering technical barriers for non-expert users. His diverse portfolio—from few-shot object recognition to natural language parsing for robots—reveals a researcher dedicated to building smarter, more adaptable robotic systems capable of supporting human life at scale.
Research Focus
Key Achievements
Top Papers
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- 6Introducing a Smart City Component in a Robotic Competition: A Field Report11 citations · 2022
- 7A user-friendly interface to control ROS robotic platforms6 citations · 2018
- 8Meet HanS, the Health&Safety autonomous inspector5 citations · 2018
- 9Parsing Natural Language Sentences into Robot Actions.3 citations · 2019
- 10Fit to Measure: Reasoning about Sizes for Robust Object Recognition2 citations · 2021