University of South Australia
🇦🇺 AU
Papers
167
Total Citations
6,431
H-Index
37
Researchers
176
About
The University of South Australia (UniSA) has established itself as a dynamic and multidisciplinary research institution with deep strengths spanning robotics, artificial intelligence, advanced sensing technologies, and human-computer interaction. Drawing on expertise across engineering, computing, health sciences, and social sciences, UniSA's researchers address some of the most pressing technological challenges of the modern era, positioning the institution as an important contributor to global innovation. UniSA's robotics and AI research is notably broad in scope. The institution has made significant contributions to mobile robot path planning and obstacle avoidance, with landmark work on deterministic Q-learning and cooperative multi-robot coordination using differential evolution attracting hundreds of citations globally. Researchers have advanced human-computer interaction through influential reviews of computer vision-based hand gesture recognition, and pioneered wearable sensing technologies, developing highly sensitive graphene/silicon rubber strain sensors that are integral to smart robotics and health monitoring systems. This work on flexible nanocomposite strain sensors continues to push boundaries in wearable electronics. Beyond engineering, UniSA researchers have shaped critical conversations about the societal implications of AI and robotics, exploring their transformative—and sometimes disruptive—roles in employment, hospitality, tourism education, and Construction 4.0. The institution's interdisciplinary reach extends to robotic-assisted gait training for pediatric rehabilitation and the integration of digital twins and BIM in smart construction. With papers accumulating thousands of citations across disciplines, UniSA offers prospective students and collaborators a vibrant, outward-looking research environment where technology development intersects meaningfully with real-world human impact.
Research Focus
Key Achievements
Top Papers
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- 2Hand Gesture Recognition Based on Computer Vision: A Review of Techniques607 citations · 2020
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- 4Progress on robotics in hospitality and tourism: a review of the literature395 citations · 2019
- 5A Deterministic Improved Q-Learning for Path Planning of a Mobile Robot270 citations · 2013
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Faculty & Researchers
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