John Rasmussen

Institute for Computer Aided Design, Aalborg University

Papers

4

Total Citations

54

H-Index

4

About

John Rasmussen is a leading figure in computational biomechanics and human-robot interaction, with a career dedicated to bridging the gap between musculoskeletal modeling and robotic design. His primary research areas include biomechanical simulation, exoskeleton development, and the optimization of human-robot physical interaction. Rasmussen’s most significant contribution is the creation of the **AnyBody Modeling System**, a groundbreaking platform for simulating the human body’s response to mechanical loads. This tool, which has garnered over 14 citations in a single recent paper, is widely used in ergonomics, rehabilitation, and sports science. His work on modeling physical human-robot interaction for exoskeleton designs (21 citations) has been instrumental in developing lightweight, safe assistive devices for the elderly and disabled, focusing on comfort and energy efficiency. Rasmussen also pioneered methods for predicting metabolic cost in human arm motion (13 citations), inspiring energy-optimal trajectories for robotic arms. His research on spring-loaded cable-driven exoskeletons (6 citations) further demonstrates his commitment to creating practical, gravity-compensating devices for partially paralyzed individuals. With a career marked by innovation in both theoretical modeling and applied engineering, Rasmussen’s work continues to shape how we understand and augment human movement.

Research Focus

Key Achievements

4
H-Index
4
Papers
54
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
MODELLING OF PHYSICAL HUMAN-ROBOT INTERACTION FOR EXOSKELETON DESIGNS
21 citations · 2011
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Institute for Computer Aided Design, Aalborg University

Top Papers

  1. 1
  2. 2
    AnyBody modeling system
    14 citations · 2023
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago