Daniela Fogli
Papers
6
Total Citations
134
H-Index
5
About
Daniela Fogli is a leading researcher at the intersection of human-computer interaction, end-user development, and collaborative robotics. Her work focuses on making advanced technologies accessible to non-expert users, particularly in the domains of ambient intelligence and human-robot collaboration. She is best known for developing rule-based and hybrid approaches that empower domain experts—rather than programmers—to configure and program intelligent systems. Her most cited work, "Rule-based tools for the configuration of ambient intelligence systems" (48 citations), established foundational methods for user-oriented system design. Fogli has since pioneered novel environments for collaborative robot programming, including CAPIRCI (26 citations) and a groundbreaking integration of ChatGPT with Blockly for end-user robot task development (2024). Her recent contributions extend to the pharmaceutical sector, where she designs human-robot collaboration systems for preparing personalized medicines. With a career spanning over two decades—from early work on modeling robot cognitive activity (2000) to cutting-edge AI integration—Fogli has consistently bridged the gap between complex robotic systems and human users. Her work has accumulated over 130 citations, reflecting its growing influence on accessible, human-centered robotics and intelligent systems design.
Research Focus
Key Achievements
Top Papers
- 1
- 2A hybrid approach to user-oriented programming of collaborative robots44 citations · 2021
- 3CAPIRCI: A Multi-modal System for Collaborative Robot Programming26 citations · 2019
- 4Modeling robot cognitive activity through active mental entities6 citations · 2000
- 5Integrating ChatGPT with Blockly for End-User Development of Robot Tasks5 citations · 2024
- 6