师资队伍

当前位置:信息工程学院 > 学院概况 > 师资队伍

黄原博士

作者:信息工程学院  来源: 时间:2024-09-25 浏览:

image.png

一、个人基本情况

博士,副教授,20249214@wzbc.edu.cn

2020.09-2024.02,早稻田大学,机器人工程与人工智能,博士

2017.09-2019.07,早稻田大学,控制科学与工程,硕士

2014.09-2018.06,电子科技大学,电子信息工程,本科


二、研究方向

运动规划、机械臂的识别抓取、多目标路径规划、深度学习等


三、主持或参加科研项目情况

1. 校级项目Waseda University Open Innovation Ecosystem Program for Pioneering Research (W-SPRING): Automatic cleaning system for floating ocean plastics in nearshore area 2021/10-2023/10, 主持,项目金额540万日元,已结题。


四、代表性论著

1. Yuan Huang*, and Hee-Hyol Lee. Adaptive Informed RRT*: Asymptotically Optimal Path Planning with Elliptical Sampling Pools in Narrow Passages. International Journal of Control, Automation and Systems[J] 22.1 (2024): 241-251.

2. Yuan Huang*, Cheng-Tien Tsao, and Hee-Hyol Lee. Efficiency Improvement to Neural-Network-Driven Optimal Path Planning via Region and Guideline Prediction. IEEE Robotics and Automation Letters[J], vol. 9, no. 2, pp. 1851-1858, Feb. 2024.

3. Yuan Huang*, Cheng-Tien Tsao, Tianyu Shen, and Hee-Hyol Lee. Neural-network-driven method for optimal path planning via high-accuracy region prediction. Artificial Life and Robotics[J], 2024, 29, 12–21.

4. Yuan Huang and Yilin Zhang*. S&Reg v2: a probabilistically complete sampling-based planner to solve multi-goal path finding problem via multi-task learning, Advanced Robotics[J], 2024 (已接收)

5. Yuan Huang*, Kairui Gu and Hee-Hyol Lee. S&Reg: End-to-End Learning-Based Model for Multi-Goal Path Planning Problem, 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) [C], Busan, Korea, Republic of, 2023, pp. 647-653.

6. Yuan Huang*, Tianyu Shen, Cheng-Tien Tsao, and Hee-Hyol Lee. Sampling-Based Path Planning Driven by Transformers with Direct Sampling in Ellipse and Region, 2023 6th International Conference on Robotics, Control and Automation Engineering (RCAE)[C], Suzhou, China, 2023, pp. 63-69.


五、工作感言

山高路远,让我们一起努力!