Andrew McConville
Papers
1
Total Citations
15
H-Index
1
About
Andrew McConville’s research focuses on the intersection of robotics, manufacturing automation, and dynamic systems modelling. His most-cited work, “A mathematical model for a pneumatically actuated robotic fibre placement system” (2002, 15 citations), presents a lumped parameter model that characterizes the dynamic behavior of a complex robotic setup—integrating a Motoman SK-120 robot, force/torque sensor, pneumatic actuator, and workpiece holder. This foundational contribution enables more precise prediction and control of robotic fibre placement, a key process in advanced composite manufacturing. By experimentally verifying his model, McConville provided a practical framework for improving automation in high-precision industrial tasks. Though his citation count is modest, his work is notable for bridging theoretical modelling with real-world robotic systems, offering valuable insights for researchers in mechatronics and production engineering. His achievements underscore a commitment to enhancing the reliability and efficiency of automated manufacturing processes.
Research Focus
Key Achievements
Top Papers
- 1