Papers

9

Total Citations

125

H-Index

5

About

Andrea Cereatti is a leading figure in biomechanics and human motion analysis, whose work bridges fundamental joint mechanics with cutting-edge applications in collaborative robotics and rehabilitation. Her research centers on three key areas: the development and validation of robust algorithms for inertial measurement units (IMUs), the biomechanical modeling of the human upper limb, and the study of shoulder joint kinematics. A major contribution is her leadership in creating the BROAD benchmark (2021, 39 citations), which provides a standardized framework for evaluating orientation estimation algorithms from IMUs—a critical step for applications from autonomous navigation to clinical gait analysis. She has also pioneered the real-time estimation of upper limb kinematics using IMUs for Industry 4.0, enabling safer human-robot collaboration (2022, 29 citations). Her foundational work includes designing novel robotic systems to simulate shoulder motion and analyzing the effect of scapular winging on glenohumeral translations, advancing our understanding of shoulder pathology. With over 100 cumulative citations, Cereatti’s impact is felt across engineering, rehabilitation, and ergonomics, making her a key innovator in the quest to accurately capture and model human movement.

Research Focus

Key Achievements

5
H-Index
9
Papers
125
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
BROAD—A Benchmark for Robust Inertial Orientation Estimation
39 citations · 2021
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Politecnico di Torino, University of Sassari, University of Basel

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago