Francesco Leotta
Papers
6
Total Citations
36
H-Index
3
About
Francesco Leotta investigates the intersection of process management, human-robot interaction (HRI), and virtual reality, with a focus on making collaborative robotics more intuitive and safe. His work bridges business process management (BPM) and the Internet of Things (IoT), as demonstrated in his highly cited paper “IoT for BPMers. Challenges, Case Studies and Successful Applications” (14 citations), which provides a roadmap for integrating IoT data into process-aware systems. Leotta’s major contributions include advancing gesture recognition and speech act classification for HRI, enabling robots to interpret human non-verbal cues and communicative acts in real time—critical for smart manufacturing and agriculture. His research on “Interactive Segmentation of User Interface Logs” (9 citations) offers novel methods for analyzing user behavior, while his studies on virtual reality tools for HRI (6 citations) explore immersive environments to enhance robot training and collaboration. Recent works, such as “Virtual Reality Applications for Enhancing Human-Robot Interaction” (3 citations) and “Speech Act Classification in Collaborative Robotics” (2 citations), underscore his commitment to addressing safety and efficiency in human-robot teams. Leotta’s work is notable for its practical impact, providing foundational techniques for safer, more responsive robotic systems in dynamic, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1IoT for BPMers. Challenges, Case Studies and Successful Applications14 citations · 2019
- 2Interactive Segmentation of User Interface Logs9 citations · 2021
- 3A Preliminary Study on Virtual Reality Tools in Human-Robot Interaction6 citations · 2021
- 4Virtual Reality Applications for Enhancing Human-Robot Interaction3 citations · 2023
- 5Speech Act Classification in Collaborative Robotics2 citations · 2023
- 6