Papers
3
Total Citations
56
H-Index
3
About
Yazhou Yao is a researcher whose work spans two notably distinct yet equally dynamic fields: embodied artificial intelligence and advanced manufacturing robotics. In the domain of AI, Yao has made meaningful contributions to Embodied Question Answering (EQA), a challenging research area where autonomous agents must actively explore real-world environments to answer user queries — with direct implications for self-driving vehicles and in-home robotics. His 2019 paper "SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering," which has accumulated 30 citations, introduced visual attention mechanisms to improve agent navigation and comprehension. Building on this foundation, his 2023 work "Robust-EQA" addressed the practical challenge of noisy label learning in EQA systems, garnering 17 citations and demonstrating a commitment to making these systems resilient in real-world conditions. More recently, Yao has extended his expertise into robotics manufacturing, co-authoring a comprehensive 2025 review on friction stir processing robots — already cited 9 times — covering design, dynamics, and control for additive manufacturing applications. Together, these contributions reflect a researcher bridging intelligent perception and physical automation.
Research Focus
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