温键 2022届博士毕业生-机器人自主行为与人智协同研究团队

温键 2022届博士毕业生

2022/11/07

毕业去向

· 2022 北京小米汽车部自动驾驶决策规划算法工程师

教育经历

· 2013.09-2017.07 南开大学工学学士

· 2017.09-2022.06 南开大学工学博士

研究方向

· 移动机器人、无人车运动规划

论文专利

1. J. Wen, X. Zhang, H. Gao, J. Yuan, and Y. Fang. E³MoP: Efficient motion planning based on heuristic-guided motion primitives pruning and path optimization with sparse-banded structure. IEEE Transactions on Automation Science and Engineering, 2021, doi: 10.1109/TASE.2021.3128521.

2. J. Wen, X. Zhang, H. Gao, J. Yuan, and Y. Fang. CAE-RLSM: Consistent and efficient redundant line segment merging for online feature map building. IEEE Transactions on Instrumentation and Measurement, 2020, 69(7): 4222-4237.

3. J. Wen, X. Zhang, Q. Bi, Z. Pan, Y. Feng, J. Yuan, and Y. Fang. MRPB 1.0: A unified benchmark for the evaluation of mobile robot local planning approaches. Proceedings of 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021: 8238-8244.

4. J. Wen, X. Zhang, H. Gao, J. Yuan, and Y. Fang. A novel 2D laser scan matching algorithm for mobile robots based on hybrid features. Proceedings of 2018 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2018: 366-371.

5. H. Gao, X. Zhang, J. Wen, J. Yuan, and Y. Fang. Autonomous indoor exploration via polygon map construction and graph-based SLAM using directional endpoint features. IEEE Transactions on Automation Science and Engineering, 2019, 16(4): 1531-1542.

6. J. Wen, X. Zhang*, Q. Bi, H. Liu, J. Yuan, and Y. Fang. G²VD Planner: efficient motion planning with grid-based generalized Voronoi diagrams, IEEE Transactions on Automation Science and Engineering.

学术兼职

独立审稿人：

· IEEE Transactions on Instrumentation and Measurement

· IEEE Transactions on Automation Science and Engineering

· IEEE International Conference on Robotics and Automation (ICRA 2021)

· IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)

荣誉奖励

· 南开大学2022届研究生优秀毕业生

· 南开大学2020-2021学年度研究生优秀学生，研究生公能二等奖学金

· 南开大学2019-2020学年度研究生公能一等奖学金