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About

Hamidreza Houshiar is a researcher specializing in robotic mapping, 3D point cloud processing, and autonomous data acquisition in complex environments. His work bridges the fields of mobile robotics, environmental documentation, and cultural heritage preservation, making significant contributions to how robots perceive and model the physical world. Houshiar's most impactful contribution is his 2017 Chilean underground mine dataset (40 citations), which provides the research community with a rare, richly annotated robotic dataset captured across nearly two kilometers of an active copper mine tunnel using LiDAR, radar, and stereo cameras — an invaluable resource for SLAM and autonomous navigation research. His work on robotic mapping of cultural heritage sites (25 citations) demonstrated how mobile robots like Irma3D can generate precise 3D models of archaeological environments, dramatically reducing the time and human error associated with traditional documentation methods. This thread of work culminated in the development of CASTLE3D, a computer-aided labelling system for archaeological excavations in 3D. His earlier research on panorama-based point cloud reduction and registration (12 citations) addressed core computational bottlenecks in robotic mapping pipelines. Collectively, Houshiar's research advances practical autonomy in challenging, real-world environments while opening new frontiers for digital heritage preservation.