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At Building Robotics Laboratory, we develop state-of-the-art sensing, learning and control systems for energy efficient, human-centered, comfortable and healthy environments. Building Robotics lab
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robotic systems. Conduct experiments in both simulated and real-world environments, testing AI-driven robotic behavior. Work with hardware platforms, including robotic manipulators and mobile robots
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intelligence. This part focuses on robotic agents operating in unstructured 3D environments (homes, offices, industrial sites, shopping malls). The work centres on (a) model-based and hybrid RL algorithms built
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unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry
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unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry
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Python and standard deep learning frameworks; fluency with at least one major robot simulation environment; and working knowledge of robot middleware. Strong publication record in top-tier robotics
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Responsible AI – Investigate issues of transparency, bias, privacy, and inclusion in AI-supported learning environments. Scholarly Dissemination – Publish findings in high-impact journals and conferences across
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, metamaterials, vibroacoustic and solid mechanics. 3. Proficiency in programming languages and environments such as Python, MATLAB, or C++. 4. Demonstrated expertise in inverse problem modelling and acoustic