Papers
10
Total Citations
336
H-Index
8
About
James Friend is a pioneering researcher at the intersection of microrobotics, medical devices, and acoustic engineering, whose work has significantly advanced minimally invasive medical technology. His research spans piezoelectric ultrasonic micromotors, soft robotics, and endovascular neurosurgery, with a particular focus on engineering solutions for procedures at the microscale. Friend's early contributions include the development of remarkably compact piezoelectric ultrasonic micromotors — some with volumes under 1 mm³ — designed to overcome the critical power density limitations that have long constrained medical microrobotics. His 2021 paper on soft robotic steerable microcatheters for cerebral endovascular treatment has garnered 144 citations, reflecting its transformative impact on neurointervention by addressing the dexterity limitations that compromise up to 25% of aneurysm cases. More recently, Friend has explored the integration of artificial intelligence with endovascular robotics and pioneered acousto-photolithography techniques for programmable hydrogel deformation, opening new frontiers in soft actuator design. His body of work bridges fundamental materials science — including hyperelastic modeling of soft polymers — with cutting-edge clinical applications, making him a central figure in the future of intelligent, minimally invasive neurosurgical care.
Research Focus
Key Achievements
Top Papers
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- 5Aluminium coating of lead zirconate titanate—A study of cold spray variables25 citations · 2010
- 6Robotics and Artificial Intelligence in Endovascular Neurosurgery24 citations · 2022
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- 9Endovascular Microrobotics for Neurointervention8 citations · 2023
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