Naifu Zhang

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About

Naifu Zhang is a rising researcher at the intersection of robotics and artificial intelligence, with a core focus on embodied question answering and robotic manipulation. Zhang’s most notable contribution is the introduction of Manipulation Question Answering (MQA), a novel task that challenges robots to physically alter their environment to answer complex queries. In their highly cited 2021 paper, Zhang proposed an integrated framework combining a QA module with a manipulation module, bridging the gap between language understanding and physical action. This work has garnered 21 citations and represents a significant step toward more interactive and intelligent robotic systems. By redefining how robots can “answer” questions—not through text alone, but through purposeful interaction with the world—Zhang is pushing the boundaries of embodied AI. Their research holds promise for applications in assistive robotics, autonomous exploration, and human-robot collaboration, making them a compelling voice in the next generation of robotic intelligence.