Jiajun Jiang

Hong Kong University of Science and Technology

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About

Jiajun Jiang is pioneering the frontier of embodied AI and autonomous navigation, with a core focus on open-vocabulary semantic mapping and human-robot interaction. Their most notable contribution is the development of **DualMap**, an online mapping system that empowers robots to understand and navigate dynamically changing environments using natural language queries. This work addresses a critical challenge in robotics: enabling machines to adapt to real-world scenes that constantly evolve, rather than relying on static, pre-built maps. By integrating open-vocabulary semantics, DualMap allows robots to interpret human commands like "find the red chair that was moved" and update their spatial understanding in real time. While early in its citation impact, this 2025 publication represents a significant leap toward practical, deployable service robots. Jiang’s research sits at the intersection of computer vision, natural language processing, and robotics, offering a scalable solution for tasks ranging from household assistance to search-and-rescue. Their work is essential reading for anyone interested in bridging the gap between high-level human instructions and low-level robotic perception in unstructured, dynamic worlds.