Annemarie F. Laudanski

Dalhousie University

Papers

2

Total Citations

5

H-Index

1

About

Annemarie F. Laudanski is a leading researcher in biomechanics and human-robot interaction, with a primary focus on advancing personalized gait assistance and orthopedic rehabilitation. Her work bridges the gap between computational modeling and clinical application, particularly in enhancing the adaptability of robotic exoskeletons. Laudanski’s major contributions include developing novel methods for three-dimensional gait trajectory prediction using regression and Long Short-Term Memory (LSTM) models, which enable real-time, personalized adjustments to robotic assistance—a significant leap from traditional, static Clinical Gait Analysis (CGA) references. Her research has garnered attention, with her 2024 paper on personalized gait assistance accumulating 4 citations shortly after publication, reflecting its immediate impact on the field. Additionally, Laudanski investigates the biomechanical outcomes of knee arthroplasty, exploring how pre-operative joint kinematics influence surgical results, a study that has already earned 1 citation. Her work not only advances theoretical understanding but also holds practical promise for improving mobility in patients with gait impairments, positioning her as a rising authority in biomechatronics and rehabilitation engineering.

Research Focus

Key Achievements

1
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Novel Methods for Personalized Gait Assistance: Three-Dimensional Trajectory Prediction Based on Regression and LSTM Models
4 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Dalhousie University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago