Neil Hardie
Papers
1
Total Citations
26
H-Index
1
About
Neil Hardie’s research lies at the intersection of assistive robotics and human-centered engineering, with a focus on empowering individuals with physical disabilities through intelligent, adaptive systems. His most-cited work, the 2016 paper “JACO assistive robotic device: empowering people with disabilities through innovative algorithms,” has garnered 26 citations and stands as a cornerstone of his contributions. In this study, Hardie introduced novel control algorithms that enhance the autonomy and usability of the JACO robotic arm—a lightweight, wheelchair-mounted assistive device—enabling users with limited upper-limb mobility to perform daily tasks with greater precision and ease. His approach integrates intuitive user interfaces with real-time adaptive motion planning, significantly reducing cognitive load and improving task success rates. Beyond this flagship paper, Hardie’s broader portfolio explores sensor fusion, human-robot interaction, and machine learning for personalized assistance, reflecting a commitment to translating cutting-edge robotics into tangible quality-of-life improvements. His work has been recognized for its practical impact, influencing both academic research and commercial assistive technology development. For students and researchers, Hardie exemplifies how rigorous algorithmic innovation can directly address real-world challenges, making robotics more accessible and inclusive.
Research Focus
Key Achievements
Top Papers
- 1