Jason Govilas
Papers
1
Total Citations
17
H-Index
1
About
Dr. Jason Govilas is a leading researcher in the field of precision robotics and micro-manipulation, with a specific focus on automating complex tasks at the microscale. His work addresses a critical bottleneck in micro-engineering: the lack of high-performance, multi-degree-of-freedom measurement systems for robotic assembly and characterization. Dr. Govilas’s most cited paper, "Automating Robotic Micro-Assembly of Fluidic Chips and Single Fiber Compression Tests Based-on Θ Visual Measurement With High-Precision Fiducial Markers" (2022, 17 citations), introduces a novel visual measurement framework that leverages high-precision fiducial markers. This work enables the automated micro-assembly of fluidic chips and the precise execution of single fiber compression tests, overcoming significant limitations in positioning and force characterization. By providing a robust, easy-to-implement solution for relative positioning, his research is pivotal for advancing micro-robotics and lab-on-a-chip technologies. Dr. Govilas’s contributions are essential for researchers and engineers seeking to push the boundaries of automation in micro-scale manufacturing and material testing.
Research Focus
Key Achievements
Top Papers
- 1