Giovanni De Gasperis
Papers
9
Total Citations
48
H-Index
4
About
Giovanni De Gasperis is a leading researcher at the intersection of cognitive robotics, multi-agent systems, and human-robot interaction. His work fundamentally advances how robots perceive, reason, and respond to humans, with a particular focus on empathetic and trustworthy behavior. De Gasperis is best known for developing the **DALI** framework, a multi-agent system architecture for cognitive robotics and complex event processing (17 and 10 citations), which provides a principled foundation for building intelligent, reactive robotic agents. He has made significant contributions to **emphatic human-robot interaction**, proposing models that integrate multimodal communication—including facial expressions, body posture, and voice—to enable robots to recognize and respond to human emotions (5 citations). His recent work extends into **explainable AI for socially assistive robots**, designing cognitive architectures for dietary guidance that prioritize trustworthy and legible behaviors (3 citations, 2025). De Gasperis also explores deep reinforcement learning for autonomous exploration, using constraint-procedural logic to generate training environments (4 citations, 2023), and integrates brain-computer interfaces with robotic systems for decoding hand and finger movements (2 citations, 2021). His research has garnered over 50 citations, establishing him as a key figure in building the next generation of socially aware, emotionally intelligent robots.
Research Focus
Key Achievements
Top Papers
- 1DALI for Cognitive Robotics: Principles and Prototype Implementation17 citations · 2016
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- 3Multi-agent System Engineering for Emphatic Human-Robot Interaction5 citations · 2019
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