David Kerr
Papers
8
Total Citations
93
H-Index
6
About
David Kerr is a robotics and automation researcher whose career spans several decades of innovative engineering, with particular expertise in surgical robotics, pipeline inspection systems, and robotic control methodologies. His most influential contribution, "A Methodology for Design and Appraisal of Surgical Robotic Systems" (2009, 31 citations), established a structured framework for developing surgical robotic devices, helping guide researchers to learn from past successes and failures in this rapidly evolving field. Complementing this clinical focus, his X-ray-based machine vision system for intramedullary nail locking demonstrated practical innovation in computer-assisted surgery, reducing patient radiation exposure during femoral fracture treatment. Kerr has also made significant strides in industrial robotics, designing semi-autonomous modular vehicles for live gas pipeline inspection and developing fuzzy logic navigation controllers for in-pipe robotic systems — work that addressed real-world infrastructure challenges. His research on robust contact force controllers for robotic grippers further showcases his versatility, tackling the delicate problem of handling fragile objects without damage. More recently, he has explored machine learning approaches to fluid flow characterization, reflecting an admirable willingness to embrace emerging technologies throughout a research career accumulating over 90 citations across diverse robotics disciplines.
Research Focus
Key Achievements
Top Papers
- 1A methodology for design and appraisal of surgical robotic systems31 citations · 2009
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- 3Robust contact force controller for slip prevention in a robotic gripper13 citations · 2010
- 4Fuzzy logic control for use in in-pipe mobile robotic system navigation10 citations · 2003
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