Keimargeo McQueen
Papers
2
Total Citations
9
H-Index
2
About
Keimargeo McQueen is a researcher whose work bridges advanced manufacturing and robotic teleoperation, tackling challenges in both speed and stability. His primary research areas include additive manufacturing, robotic path planning, and bilateral teleoperation systems. McQueen’s major contribution to manufacturing is the design of an efficient path planner for a dual-robotic-arm additive manufacturing prototype, where two nozzle-equipped arms collaborate on a single part. This innovation theoretically doubles 3D printing speed and, by equipping the second arm with a machining tool, enables hybrid manufacturing processes. His work in teleoperation addresses the critical issue of instability caused by time delays in bilateral systems. McQueen experimentally tested a bandstop wave filter to mitigate wave reflections—a known drawback of the wave variable algorithm—thereby improving system stability and operator control. Though his most-cited papers have garnered modest citation counts (5 and 4, respectively), they represent foundational steps in scalable, multi-robot manufacturing and robust teleoperation. McQueen’s research is particularly notable for its practical focus on real-world implementation, offering solutions that could enhance productivity in industrial settings and reliability in remote operation tasks.
Research Focus
Key Achievements
Top Papers
- 1Efficient Path Planning of Secondary Additive Manufacturing Operations5 citations · 2018
- 2