Max Robotics — Global Service Robot Directory + US Certification

About

Zhenpeng He is a roboticist whose research sits at the intersection of 3D mapping, robot localization, and spatial representation. He is best known for developing advanced mapping systems that enable mobile robots to perceive and navigate complex indoor environments. His work on the "Advanced mapping robot and high-resolution dataset" (24 citations) introduced a fully hardware-synchronized platform with external tracking for super-precise localization, setting a new standard for ground-truth map collection. He pioneered the concept of "Furniture Free Mapping" using 3D LiDARs (16 citations), which allows robots to strip away transient clutter like chairs and tables to create cleaner, more navigable maps—a critical contribution for long-term autonomous operation. He further advanced the field with hierarchical topometric representations (23 citations) that combine topological and metric information for efficient 3D mapping. His recent work, FloorplanNet (9 citations), leverages deep learning to match building floorplans with robot observations, enabling robust localization without prior maps. With over 80 total citations and a growing portfolio of high-impact papers, He’s work is shaping how robots understand and move through the built world.