Zhiqi Jiang
Papers
1
Total Citations
4
H-Index
1
About
Dr. Zhiqi Jiang is a rising researcher in Embodied Artificial Intelligence, with a primary focus on object-driven navigation and active perception. Their most-cited work, "An Object-Driven Navigation Strategy Based on Active Perception and Semantic Association" (2024), tackles the fundamental challenge of enabling autonomous agents to efficiently locate specific objects in unfamiliar environments. This research bridges the gap between end-to-end learning and modular approaches, offering a more interpretable and generalizable framework that leverages semantic associations to guide exploration. By integrating active perception with semantic reasoning, Jiang's work addresses critical limitations in efficiency and adaptability that have long plagued embodied AI systems. Though early in their career with 4 citations to date, this contribution signals a promising trajectory in developing more intelligent, context-aware navigation for robots and virtual agents. Their approach holds particular significance for applications in service robotics, autonomous inspection, and human-robot interaction, where reliable object search is essential.
Research Focus
Key Achievements
Top Papers
- 1