Ms. Yi-Tian Hong | Robot Localization | Best Researcher Award

Ms. Yi-Tian Hong, National Taiwan University / Department of Mechanical Engineering,Taiwan

Yi-Tian Hong was born in Penghu, Taiwan, in 2000. She embarked on her academic journey by earning a B.E. degree in the Department of Mechanical Engineering from National Taiwan University (NTU), Taiwan, in 2023. During her undergraduate studies, she laid a solid foundation in mechanical engineering, preparing herself for advanced research and professional endeavors.Currently, Yi-Tian Hong is pursuing an M.S. degree in the Department of Mechanical Engineering at NTU, Taiwan. Her focus is on conducting research in the Robotics Laboratory, where she specializes in fusion SLAM (Simultaneous Localization and Mapping) techniques designed for both indoor and outdoor environments. This research area involves advanced technologies aimed at enhancing the navigation and mapping capabilities of robotic systems in dynamic and varied settings.In 2023, Yi-Tian Hong achieved significant recognition for her scholarly contributions by receiving the Best Paper Award at The International Automatic Control Conference (CACS). This accolade underscores her dedication to academic excellence and her innovative contributions to the field of robotics and control systems.

Professional Profile

ORCID

Education:

Bachelor’s Degree (B.E.) in Mechanical Engineering
- Institution: National Taiwan University, Taiwan
- Year: 2023
Master’s Degree (M.S.) in Mechanical Engineering
- Institution: National Taiwan University, Taiwan
- Currently pursuing

Work Experience:

Yi-Tian Hong’s professional experience is focused on research and development in the field of robotics, particularly in the area of Simultaneous Localization and Mapping (SLAM). Here are the highlights:

Research Assistant
- Institution: Robotics Laboratory, National Taiwan University
- Research Focus: Fusion SLAM for both indoor and outdoor environments

Achievements:

In 2023, Yi-Tian Hong was recognized for her academic excellence:

Best Paper Award
- Event: The International Automatic Control Conference (CACS)

Yi-Tian Hong’s career trajectory demonstrates a strong commitment to advancing knowledge and innovation in robotics, particularly in enhancing SLAM technologies for various application scenarios.

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