Panos S. Shiakolas
The University of Texas at Arlington, Robotics Research (United States)
Papers
15
Total Citations
265
H-Index
5
About
Panos S. Shiakolas is a robotics and mechanical engineering researcher whose work spans industrial robot calibration, evolutionary design optimization, MEMS fabrication, and assistive human-robot interaction. His most influential contributions lie in the foundational analysis of robotic accuracy and repeatability, where he developed comprehensive error trees and applied Denavit-Hartenberg kinematic parameters to characterize and improve industrial robot performance — work that has garnered over 180 citations across two seminal papers from the early 2000s. Shiakolas further advanced the field by applying evolutionary optimization techniques, including Genetic Algorithms and Differential Evolution, to achieve optimum robot designs constrained by kinematic, dynamic, and structural requirements. His research expanded into the microscale with the design of electrothermal microgrippers fabricated using deep reactive ion etching, demonstrating versatility across spatial scales. More recently, Shiakolas has directed his expertise toward socially impactful applications, developing brain-computer interface frameworks for assistive robotics, microrobotic systems for minimally invasive bladder diagnostics, and affordable telerobotics platforms for individuals with mobility impairments. His body of work reflects a sustained commitment to bridging theoretical robotics with real-world engineering challenges, making him a notable figure in both research and applied robotics communities.
Research Focus
Key Achievements
Top Papers
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- 2ROBOTIC CALIBRATION ISSUES: ACCURACY, REPEATABILITY AND CALIBRATION72 citations · 2000
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- 4Design Tradeoffs for Electrothermal Microgrippers21 citations · 2007
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