Eric M. Yeatman
Imperial College London, NIHR Imperial Biomedical Research Centre
Papers
20
Total Citations
756
H-Index
13
About
Eric M. Yeatman is a prominent researcher at Imperial College London whose work spans energy harvesting, microsystems, surgical robotics, and biomedical microdevices. He has made significant contributions to the field of autonomous sensing systems, most notably through his highly cited work on rotational energy harvesting for self-powered sensing (2021, 306 citations), which advanced the development of devices capable of generating their own power from ambient mechanical motion. His research portfolio reflects a strong commitment to bridging microscale actuation and real-world medical applications, with influential reviews on artificial muscles for microsystems and micro motion amplification establishing him as a key synthesizer of emerging technologies in the field. Yeatman's more recent work has pivoted substantially toward minimally invasive surgical robotics, contributing to innovations such as polymer-based robotic fibers for precision surgery, tendon-driven flexible robots with machine learning-enhanced kinematic modeling, and macro-micro manipulator systems optimized for surgical task accuracy. His 2023 review on advanced medical micro-robotics further underscores his vision for intelligent, miniaturized systems transforming healthcare. With a cumulative citation count exceeding 660 across his most prominent recent papers alone, Yeatman's interdisciplinary research continues to shape the intersection of microsystems engineering, robotics, and biomedical technology.
Research Focus
Key Achievements
Top Papers
- 1Rotational energy harvesting for self-powered sensing306 citations · 2021
- 2A comparative review of artificial muscles for microsystem applications71 citations · 2021
- 3Fiberbots: Robotic fibers for high-precision minimally invasive surgery69 citations · 2024
- 4
- 5Micro Motion Amplification–A Review41 citations · 2020
- 6
- 7
- 8
- 9Model Learning With Backlash Compensation for a Tendon-Driven Surgical Robot20 citations · 2022
- 10