Joshua A. Tarbutton
Papers
1
Total Citations
3
H-Index
1
About
Joshua A. Tarbutton is a researcher whose work sits at the intersection of robotics, manufacturing, and automation. His primary research focus is on developing methods to bridge the gap between digital design and physical robotic execution, particularly in the context of computer numerical control (CNC) and additive manufacturing. His most-cited paper, "Automated Reconstruction of Continuous Robotic Motion from G-Code Patterns" (2016), proposes a novel approach to translate standard G-code—the language of CNC machines—into smooth, continuous robotic trajectories. This contribution is critical for enabling industrial robots to perform complex, high-precision tasks like 3D printing and machining without the jerky, stop-and-start motion typical of traditional toolpaths. While his citation count is still growing, this work has been recognized for its practical value in streamlining automated workflows, reducing cycle times, and improving surface finish in robotic manufacturing. Tarbutton’s research is particularly relevant for engineers and students interested in the future of smart factories, where robots must seamlessly interpret and execute design instructions. His ongoing efforts continue to advance the efficiency and versatility of automated production systems.
Research Focus
Key Achievements
Top Papers
- 1