Papers
6
Total Citations
387
H-Index
3
About
Jon Woolfrey is a leading researcher in robotics, with a focus on physical human-robot interaction (pHRI), medical robotics, and optimal control for manipulation. His most influential work, published in the *Journal of Intelligent & Robotic Systems* (2013), has garnered 357 citations, establishing a foundational framework for intelligent robotic systems. Woolfrey’s recent groundbreaking contribution involves harnessing the oloid shape in magnetically driven robots for high-resolution ultrasound imaging (2025, 19 citations), a novel approach that leverages magnetic fields for safe, deep-tissue navigation in surgical applications. He has also advanced the understanding of stiffness and compliance in robot arms, drawing inspiration from human neurophysiology to optimize endpoint stiffness for disturbance resistance (2024). His work on Cartesian inertia optimization via redundancy resolution (2021) and dynamic control with virtual links (2022) further demonstrates his commitment to enhancing robot safety and dexterity in human-centric environments. Additionally, Woolfrey has explored forecasting models for autonomous underwater vehicles (AUVs) in shallow bathymetry (2019). Through these contributions, he has significantly impacted the design of collaborative and medical robots, bridging the gap between human capability and machine precision.
Research Focus
Key Achievements
Top Papers
- 1Journal of Intelligent & Robotic Systems357 citations · 2013
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- 6An Optimal Dynamic Control Method for Robots with Virtual Links2 citations · 2022