Max Robotics — Global Service Robot Directory + US Certification

About

Hejie Yu’s research lies at the intersection of robotics, bio-inspired navigation, and simultaneous localization and mapping (SLAM), with a particular focus on enabling autonomous systems to operate robustly in dynamic and complex environments. Yu’s most cited work, “DRSO-SLAM” (16 citations), addresses a critical challenge in service robotics by integrating semantic information and optical flow to dramatically improve localization accuracy in indoor dynamic scenes. Building on this, Yu has pioneered brain-like navigation models that draw directly from the spatial cognitive mechanisms of the rat brain—specifically grid cells and hippocampal place cells—to create robots capable of self-positioning and goal-oriented navigation without relying on external cues. These bio-inspired approaches, detailed in papers such as “Construction of the rat brain spatial cell firing model on a quadruped robot” (6 citations) and “A bio-inspired robot navigation model” (2023), represent a novel fusion of neuroscience and robotics. Yu’s work also extends to practical engineering, including the design of a specialized wall-climbing cleaning robot for photovoltaic curtain walls. By translating neural mechanisms into deployable algorithms, Yu is advancing the frontier of intelligent, adaptive robotics.