Devis Dal Moro

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About

Devis Dal Moro is a researcher advancing the frontier of autonomous robotic systems, with a focus on cognitive architectures and human-robot interaction. His work centers on integrating Belief-Desire-Intention (BDI) models with modern robotics frameworks to create more adaptive and socially aware agents. In his highly cited 2022 paper, "Developing BDI-Based Robotic Systems with ROS2" (9 citations), Dal Moro provides a foundational framework for embedding deliberative reasoning into ROS2, enabling robots to balance reactive behaviors with proactive, goal-driven planning. Building on this, his 2023 work on "Implementing BDI Continual Temporal Planning for Robotic Agents" (2 citations) tackles the challenge of real-time decision-making in unpredictable environments, enhancing agent adaptability. Most recently, his 2024 paper, "Improving Robot Social Perception in Human-Robot Interaction Using Multi-modal Cues" (3 citations), proposes an innovative multi-modal framework that fuses visual, auditory, and spatial data to deepen robots' understanding of human social cues. Through these contributions, Dal Moro is shaping the next generation of robots that are not only intelligent but also socially perceptive, with clear implications for assistive technologies and collaborative automation.