Chris Anjewierden

University of Utah

Papers

1

Total Citations

2

H-Index

1

About

Chris Anjewierden is a researcher whose work lies at the intersection of biomechanics and robotics, with a particular focus on understanding and replicating the extraordinary dexterity of the human hand. His key contributions center on the development and validation of sophisticated computational models of the finger's intricate tendon-driven system. Anjewierden’s most cited work, a 2017 study on the UART finger, presents a complex bond graph model of the index finger, designed to provide deep insight into how the human muscular-skeletal system achieves its remarkable dexterity. This research is crucial for advancing the field of prosthetic and robotic hands, as it tackles the fundamental challenge of modeling the dynamic interactions between tendons, bones, and contact surfaces. While his citation count is modest, the foundational nature of his modeling work—validated against the ACT hand—represents a significant step toward creating more lifelike and functional artificial hands. Anjewierden’s research is particularly valuable for students and engineers seeking to bridge the gap between biological inspiration and practical robotic actuation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Validation of Fingertip Force and Finger Pose in the UART Finger and Bond Graph Tendon Model During Surface Contact
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Utah

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago