Max Robotics — Global Service Robot Directory + US Certification

About

Renzhong Guo is a leading researcher in indoor 3D modeling, visual localization, and augmented reality (AR) navigation. His work addresses critical challenges in accurately perceiving and navigating complex, dynamic indoor environments, where traditional sensor-based methods often fall short. Guo’s major contributions include pioneering end-to-end deep learning approaches for 2D-to-3D pose estimation, as demonstrated in his work “TransCNNLoc,” which enables robust localization even in changing indoor scenes. He has also advanced the integration of Building Information Modeling (BIM) with ARCore for seamless, high-precision indoor navigation, a breakthrough for fine-grained applications like AR-guided tours and robot localization. His most-cited survey, “A survey on indoor 3D modeling and applications via RGB-D devices” (25 citations), provides a comprehensive roadmap for leveraging consumer RGB-D cameras in real-world 3D scene reconstruction. With a growing citation impact and a focus on bridging virtual models with physical spaces, Guo’s research is shaping the future of intelligent indoor spatial intelligence.