Institute for Infocomm Research
🇸🇬 SG
Papers
232
Total Citations
5,794
H-Index
32
Researchers
234
About
The Institute for Infocomm Research (I²R), a flagship research institute under Singapore's Agency for Science, Technology and Research (A*STAR), stands at the forefront of intelligent systems, human-machine interaction, and biomedical engineering. With a research portfolio spanning computational hardware, neurorehabilitation robotics, social robotics, and autonomous navigation, I²R has established itself as a globally recognized center for translational research that bridges fundamental science and real-world applications. Among I²R's most celebrated contributions is its pioneering work in brain-computer interface (BCI)-driven stroke rehabilitation. The institute's landmark randomized controlled trial demonstrating EEG-based motor imagery BCI combined with robotic feedback for stroke recovery has garnered over 500 citations and set a clinical benchmark for neurorehabilitation worldwide. This work, supported by complementary studies on resting-state fMRI biomarkers and transcranial direct current stimulation, reflects a comprehensive, neuroscience-grounded approach to restoring motor function in patients with hemiplegia. The institute's neural network control frameworks for rehabilitation robots further underscore its command of adaptive and intelligent control systems. I²R has also made landmark contributions to digital computing with its comprehensive 50-year retrospective on CORDIC algorithms — a highly cited reference resource for engineers in signal processing, robotics, and hardware design globally. Beyond rehabilitation, the institute's expertise extends to social robotics, human-robot shared control via game-theoretic frameworks, UWB-based indoor navigation, autonomous exploration, and computer vision applications including YOLO-based sports robotics. With citation counts in the hundreds across multiple disciplines and strong clinical partnerships, I²R offers prospective students and collaborators an intellectually rich, impact-driven environment where research in AI, robotics, and human augmentation translates directly into societal benefit.
Research Focus
Key Achievements
Top Papers
- 150 Years of CORDIC: Algorithms, Architectures, and Applications574 citations · 2009
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- 5Neural Network Control of a Rehabilitation Robot by State and Output Feedback253 citations · 2014
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- 7Continuous Role Adaptation for Human–Robot Shared Control186 citations · 2015
- 8Impedance Learning for Robots Interacting With Unknown Environments153 citations · 2014
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- 10A UWB based Localization System for Indoor Robot Navigation127 citations · 2007
Faculty & Researchers
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