Jing‐Heng Chen

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About

Jing-Heng Chen is a pioneering robotics researcher whose work centers on the localization, navigation, and multi-sensor fusion for biped climbing robots operating in complex spatial truss environments. His major contributions lie in developing robust SLAM (Simultaneous Localization and Mapping) systems tailored to the unique challenges of self-similar, featureless truss structures—environments where traditional methods fail. Chen’s most notable work, “BiCR-SLAM: A multi-source fusion SLAM system for biped climbing robots in truss environments” (2024), has already garnered 10 citations, demonstrating immediate impact in the field. This system integrates multiple sensor modalities to overcome the difficulties posed by the robots’ inverted climbing gait and the repetitive geometry of trusses. His earlier foundational study, “Localization of Biped Pole-Climbing Robots in Spatial Trusses” (2021), laid the groundwork by addressing the fundamental localization problem for these unique robots. Chen’s research is critical for enabling autonomous inspection, maintenance, and construction tasks in large-scale infrastructure like bridges, towers, and space frames. By solving the navigation puzzle for robots that must “turn themselves upside down” to climb, Chen is helping to unlock a new generation of agile, climbing robots for hazardous environments.