Enrico Daga
Papers
4
Total Citations
73
H-Index
2
About
Enrico Daga is a researcher whose work sits at the dynamic intersection of robotics, smart cities, and knowledge representation. He is best known for helping to define and map the emerging field of Robot–City Interaction (RCI), explored in his highly cited 2019 survey that systematically examined how robots navigate and interact within complex urban environments, accumulating 58 citations and establishing a foundational framework for researchers entering this space. His subsequent work has extended this vision practically, including a 2022 field report on integrating smart city components into robotic competitions, demonstrating his commitment to bridging theoretical frameworks with real-world deployment challenges. Daga has also contributed to the knowledge engineering dimension of autonomous systems, investigating how mobile agents can maintain the temporal validity of knowledge bases — a critical concern for robots that must reason reliably in dynamic environments. His 2021 work on size-based reasoning further reflects his interest in making service robots more robust and perceptually grounded. Across his portfolio, Daga stands out as a researcher who connects urban infrastructure, artificial intelligence, and robotics into a coherent and practically motivated research agenda, making his work highly relevant for students exploring the future of intelligent urban systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Introducing a Smart City Component in a Robotic Competition: A Field Report11 citations · 2022
- 3Update of time-invalid information in Knowledge Bases through Mobile Agents2 citations · 2016
- 4Fit to Measure: Reasoning about Sizes for Robust Object Recognition2 citations · 2021