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Research Initiatives in Progress

Construction Automation

At the IDOBE Lab, we stand at the cutting edge of construction robotics technology. Our intensive research zeroes in on a diverse range of robots and sophisticated control systems, all tailored towards the overarching aim of revolutionizing construction processes. By harnessing the potential of automation, we aspire to significantly mitigate the prevalent risks, drastically reducing the instances of injuries and the physical demands inherent in the construction sector. Furthermore, we are innovating within the realm of modular construction for concrete masonry units. Our efforts are dedicated to creating solutions inherently designed for compatibility with robotic systems, addressing the gaps present in existing methodologies.

Environmental Chamber

The IDOBE Lab is embarking on an ambitious project to erect a state-of-the-art environmental chamber. This facility will serve as a pivotal platform to evaluate building envelope details under conditions that emulate real-world scenarios. Our objective is to gain deeper insights into the performance dynamics of specific envelope components, ensuring optimal functionality and resilience in actual field conditions.

Thermal Modelling

The IDOBE Lab is at the forefront of research on building envelope thermal performance. We have meticulously curated comprehensive catalogues derived from exhaustive simulations of building envelope details. Through our rigorous investigations, we aim to set benchmarks and provide invaluable insights into optimizing energy efficiency in construction

Example of thermal modelling
energy monitoring graph

Energy Monitoring

At the IDOBE Lab, our commitment to understanding real-world energy consumption drives our active involvement in energy monitoring initiatives across diverse building types. The empirical data we garner from these structures is instrumental in offering unparalleled insights into actual energy utilization patterns. Leveraging this data, we are devising deep-learning algorithms and real-time predictive energy models. Our ultimate objective is to enhance building control systems, ensuring they operate at peak efficiency while minimizing energy consumption.

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