Mr. Haonan Hu | Robotics Awards | Best Researcher Award

Mr. Haonan Hu | Robotics Awards | Best Researcher Award

Mr. Haonan Hu , Sun Yat-sen University , China

Mr. Haonan Hu is currently affiliated with Sun Yat-sen University in China, where he is actively pursuing his academic and professional endeavors. He has established a notable academic background, having completed his undergraduate and postgraduate studies at prestigious institutions. His research interests span across various domains, including but not limited to computer science, artificial intelligence, and machine learning. Mr. Hu has engaged in significant research projects, contributing to advancements in these fields. His dedication to academic excellence is complemented by practical experience gained through internships and collaborations with industry partners. Mr. Haonan Hu continues to make valuable contributions to his university and the broader academic community, demonstrating a commitment to pushing the boundaries of knowledge in his chosen disciplines.

Professional Profile:

Scopus

🎓Education:

Mr. Haonan Hu is currently affiliated with Sun Yat-sen University in China, where he is actively pursuing his academic and professional endeavors. He completed his undergraduate and postgraduate studies at prestigious institutions, focusing on computer science, artificial intelligence, and machine learning. His academic journey has equipped him with a strong foundation in these fields. Mr. Hu has actively contributed to significant research projects, leveraging his expertise to advance knowledge in computer science and related disciplines.

🏢Experience:

His practical experience includes internships and collaborations with industry partners, enhancing his understanding of real-world applications. Mr. Haonan Hu remains dedicated to academic excellence, continuously striving to push the boundaries of knowledge and make impactful contributions to both his university and the broader academic community.

Publication Top Notes:

  1. Safe Trajectory Planning for Incremental Robots Based on a Spatiotemporal Variable-Step-Size A Algorithm*
    • Authors: Hu, H., Wen, X., Hu, J., Xia, C., Zhang, H.
    • Journal: Sensors
    • Citations: 0
  2. Research on an Adaptive Method for the Angle Calibration of Roadside LiDAR Point Clouds
    • Authors: Wen, X., Hu, J., Chen, H., Hu, H., Zhang, H.
    • Journal: Sensors
    • Citations: 2