Junqi Luo

Beibu Gulf University, Tongji University

Papers

Total Citations

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About

Junqi Luo is an emerging researcher whose work spans the intersection of intelligent optimization algorithms and advanced spatial computing technologies. In the field of swarm intelligence and robotics, Luo has made notable contributions to improving ant colony algorithms for robot path planning, proposing an innovative Wolf pack assignment rule that addresses critical limitations of traditional raster-based approaches — specifically their tendencies toward slow convergence and entrapment in local optima. This work, published in 2021 and accumulating 5 citations, demonstrates Luo's focus on developing hybrid bio-inspired computational strategies for real-world navigation challenges. More recently, Luo has expanded into the rapidly evolving domain of Building Information Modeling (BIM), contributing to cutting-edge research on automating the transition from mobile perception data to full 3D building models — a process known as scan-to-BIM. This 2025 publication reflects Luo's growing interest in bridging physical sensing technologies with digital construction workflows. Across these research areas, Luo demonstrates a versatile technical profile, combining expertise in optimization algorithms, robotics, and intelligent built environment modeling — positioning themselves as a researcher to watch in applied computational and spatial intelligence fields.