Ben McElroy
Papers
4
Total Citations
27
H-Index
4
About
Ben McElroy is a researcher focused on assistive robotics and intelligent navigation systems, with a particular emphasis on weightless neural networks for real-time autonomous control. His work addresses critical challenges in human-robot interaction, especially for powered wheelchair users requiring robust, non-intrusive assistance. McElroy’s major contributions include developing a weightless neural system that uses simple sensor data for efficient round-corner, junction, and doorway detection, enabling autonomous path planning in smart robotic healthcare wheelchairs—a system that prioritizes user control while ensuring collision avoidance. He also pioneered floor covering and surface identification techniques for room localization in assistive mobile robots, enhancing trajectory assistance in dynamic environments. His research on highly efficient localization using weightless neural systems reduces hardware and software requirements for pattern recognition, offering real-time navigation capabilities. Additionally, McElroy explored automated adaptation of input and output data for weightless artificial neural networks, improving the usability of automated guided vehicles in hazardous settings. While his citation counts (ranging from 4 to 12) reflect a niche but impactful contribution, his work is notable for advancing practical, real-world applications in assistive technology, particularly for vulnerable populations. McElroy’s innovations demonstrate a commitment to creating intelligent systems that augment human capability without compromising autonomy.
Research Focus
Key Achievements
Top Papers
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- 3Highly efficient localisation utilising weightless neural systems5 citations · 2012
- 4