Taipei, Taiwan

Yu-Chien Hsiao

USPTO Granted Patents = 5 

Average Co-Inventor Count = 4.6

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Tu-Chen, TW (1999)
  • New Taipei, TW (2018 - 2019)

Company Filing History:


Years Active: 1999-2019

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5 patents (USPTO):Explore Patents

Title: Innovations of Yu-Chien Hsiao

Introduction

Yu-Chien Hsiao is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of computer vision and autonomous mobile devices. With a total of five patents to his name, Hsiao's work showcases his innovative approach to technology.

Latest Patents

Among his latest patents is a "Computer vision positioning system and method for the same." This invention involves an artificial marker combination that can be read by an autonomous mobile device. The combination consists of at least two different artificial markers arranged in a specific order. The computer vision positioning system utilizes the meanings of these markers to guide the mobile device along its route. Another significant patent is the "Autonomous mobile device and method of forming guiding path." This device includes various modules such as a map interpretation module, an image collection module, and an artificial marker identification module. These components work together to collect images, identify markers, and create a guidance path for the autonomous mobile device.

Career Highlights

Hsiao has worked with prominent companies, including Hon Hai Precision Industry Co., Ltd. and Scienbizip Consulting (Shenzhen) Co., Ltd. His experience in these organizations has contributed to his expertise in developing advanced technologies.

Collaborations

Some of his notable coworkers include Tien-Ping Liu and Shu-Fen Chen, who have collaborated with him on various projects.

Conclusion

Yu-Chien Hsiao's innovative patents and career achievements highlight his significant impact on the field of technology. His work continues to influence the development of autonomous systems and computer vision applications.

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