Alessandra Moschetti
Papers
4
Total Citations
85
H-Index
4
About
Alessandra Moschetti is a leading researcher at the intersection of human-robot interaction, wearable sensing, and ambient assisted living. Her work focuses on enabling robots to become intuitive social companions by equipping them with the ability to recognize and respond to human activities. Moschetti’s major contributions lie in developing sensor fusion techniques that combine depth cameras with wearable devices—such as inertial rings and bracelets—to achieve robust, unsupervised activity recognition. Her pioneering studies on daily activity recognition and human-robot walking together have laid the groundwork for robots that can seamlessly share environments with people, offering personalized hints to improve lifestyle and safety. With over 85 citations across her most influential papers, including her 2018 work on self-localized robots and her 2017 unsupervised activity recognition approach, Moschetti’s research has been instrumental in advancing the AALIANCE2 Ambient Assisted Living Roadmap. Her work not only enhances robot autonomy but also promotes healthier, more interactive human lives, making her a key figure in the future of socially aware robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Preliminary Findings of the AALIANCE2 Ambient Assisted Living Roadmap21 citations · 2014
- 4Wearable Sensors for Human–Robot Walking Together14 citations · 2019