Xiaoxin Lin

Papers

Total Citations

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About

Xiaoxin Lin is a researcher at the forefront of intelligent robotics, with a primary focus on home service robot navigation and human-robot interaction. Their most-cited work, "The Navigation of Home Service Robot Based on Deep Learning and Machine Learning" (2024, 5 citations), introduces a novel deep learning framework that significantly enhances a robot's ability to accurately identify and navigate toward household appliances like fridges and washing machines. By combining web-crawled image datasets with machine learning algorithms, Lin’s approach enables robots to distinguish between objects with high precision, directly addressing a critical bottleneck in autonomous domestic assistance. This contribution has practical implications for the development of more reliable, context-aware service robots that can operate seamlessly in cluttered home environments. Lin’s work bridges the gap between theoretical AI and real-world deployment, offering a scalable solution for improving robotic perception and navigation. As a rising voice in applied robotics, their research continues to push the boundaries of how machines understand and interact with everyday spaces, making them a notable figure in the field of intelligent systems.