Auckland University of Technology
🇳🇿 NZ
Papers
198
Total Citations
6,452
H-Index
34
Researchers
149
About
Auckland University of Technology (AUT) stands at a dynamic intersection of artificial intelligence, robotics, and human-centred technology, establishing itself as a leading research institution with global reach and measurable societal impact. With over 918 citations for its landmark study on employee perceptions of STARA technologies and more than 800 citations for its pioneering work on Industry 5.0, AUT's researchers are shaping international conversations about the future of work, automation, and human-machine collaboration. AUT's research portfolio is remarkably diverse yet cohesive, spanning rehabilitation robotics, socially assistive robots, neural computing, soft robotics, and AI-driven applications across sectors including healthcare, hospitality, and food science. Particularly notable is the institution's sustained commitment to rehabilitative and assistive technologies — from EMG-driven exoskeleton control and gait rehabilitation robots to robotic devices for paediatric and stroke recovery — reflecting a deeply human-centric philosophy that runs throughout AUT's research culture. The university has made significant contributions to spiking neural network architectures through the NeuCube framework, advancing brain-signal modelling and evolving connectionist systems with real-world neurological applications. Meanwhile, AUT researchers have led important work on companion robots and social robotics for elderly care, advocating rigorously for user-centred design methodologies and robust psychometric assessment tools. AUT's interdisciplinary approach — connecting engineering, computer science, business, and health sciences — makes it an exceptionally fertile environment for prospective students and collaborators seeking to address real-world challenges. With a strong record of high-impact publications and a clear orientation toward inclusive, socially responsible innovation, AUT represents an exciting partner for researchers and industry leaders working at the cutting edge of intelligent systems and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 4Evolving Connectionist Systems: The Knowledge Engineering Approach325 citations · 2007
- 5Internet of things (IoT) applications for elderly care: a reflective review252 citations · 2020
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- 7The Application of Artificial Intelligence and Big Data in the Food Industry183 citations · 2023
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Faculty & Researchers
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