Luke Butters
Papers
1
Total Citations
7
H-Index
1
About
Luke Butters is a researcher at the intersection of industrial automation, machine vision, and robotics. His work focuses on bridging the gap between theoretical computer vision and practical manufacturing challenges, with a particular emphasis on real-time object detection and robotic manipulation in unstructured environments. His most-cited paper, "Using Machine Vision to Command a 6-axis Robot Arm to Act on a Randomly Placed Zinc Die Cast Product" (2019, 7 citations), documents a complete pipeline for automating a manual process at a New Zealand manufacturing company. The system monitors a conveyor belt for randomly oriented zinc die cast parts, using machine vision to determine their position and orientation, then commands a robot arm to pick and place them accordingly. This work demonstrates Butters' commitment to applied research that directly impacts local industry, showcasing how computer vision can replace human labor in hazardous or repetitive tasks. His contributions are notable for their end-to-end implementation—from camera calibration and image processing to robot kinematics—offering a replicable template for small-to-medium manufacturers seeking to adopt Industry 4.0 technologies.
Research Focus
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Top Papers
- 1