Xiang-Long Ku
Papers
1
Total Citations
1
H-Index
1
About
Xiang-Long Ku is a researcher at the forefront of assistive robotics and human–computer interaction, with a focused expertise in developing intelligent systems for visually impaired individuals. His most notable contribution is the design of an indoor navigation robot that leverages deep learning to aid visually impaired people, published in 2023. This work integrates computer vision and autonomous navigation to create a practical, real-world assistive device, demonstrating how AI can enhance accessibility and independence for users in controlled environments. While his citation count is currently modest, the novelty of his approach—combining deep learning with robotic mobility aids—positions his research as a foundational step in a rapidly growing field. Ku’s work addresses a critical societal need, bridging the gap between advanced machine learning algorithms and tangible assistive technologies. His contributions highlight the potential for robotics to transform daily living for the visually impaired, making him a promising voice in the ongoing dialogue between AI innovation and inclusive design.
Research Focus
Key Achievements
Top Papers
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