University of Adelaide

🇦🇺 AU

Papers

331

Total Citations

17,189

H-Index

51

Researchers

283

About

The University of Adelaide has established itself as a significant force in robotics, autonomous systems, and artificial intelligence research, with contributions that have shaped the global trajectory of these fields. Perhaps most strikingly, the institution's researchers co-authored the landmark 2016 survey on Simultaneous Localization and Mapping (SLAM), which has accumulated over 3,000 citations and remains one of the most influential reference works in mobile robotics, defining the conceptual roadmap toward robust robot perception in complex, real-world environments. Adelaide's research portfolio spans an impressive breadth of cutting-edge topics. In computer vision and manipulation, the team behind AffordanceNet pioneered end-to-end deep learning for object affordance detection, while their RGB-D perception systems have advanced autonomous robotic manipulation in cluttered settings. The university's practical engineering excellence was demonstrated dramatically when their Cartman robot — a low-cost Cartesian manipulator — won the prestigious Amazon Robotics Challenge, showcasing the institution's ability to translate research into competition-winning real-world systems. Beyond manipulation and perception, Adelaide's researchers have made notable contributions to brain-computer interfaces, multiagent system control, teleoperation under uncertainty, and vision-and-language navigation, reflecting an interdisciplinary culture that bridges human-robot interaction with advanced control theory. Their work on nonlinear control for wheeled mobile robots and adaptive fuzzy control for robot finger dynamics has become standard reference material in the control engineering community. With strengths spanning autonomous navigation, robotic vision, intelligent control, and human-centered robotics, the University of Adelaide offers prospective students and collaborators a vibrant, internationally recognized research environment where foundational theory meets ambitious real-world application.

Research Focus

Key Achievements

51
H-Index
331
Papers
17,189
Total Citations
283
Faculty & Researchers
🏆 Most Cited Paper
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age
3,257 citations · 2016
📊 Avg Citations/Paper: 52
📈 Most Prolific Year: 2024 (33)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Computer vision, Robotics, Engineering

Top Papers

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    Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
    3,158 citations · 2016
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Faculty & Researchers

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