教育背景
华南理工大学 自动化科学与工程学院 控制科学与工程 工学博士
杭州电子科技大学 自动化学院 电气工程及其自动化 工学学士
研究方向
深度学习、强化学习及机械臂视觉抓取
论文发表
[1] Yu, Q.; Wei, W.; Wang, D.; Li, Y.; Gao, Y.. A Framework for IBVS Using Virtual Work[C]//Actuators. MDPI, 2024, 13(5): 181.
[2]Dongliang Wang, Wu Wei, Xinmei Wang, Yong Gao, Yanjie Li, Qiuda Yu, Zhun Fan. Formation control of multiple mecanum-wheeled mobile robots with physical constraints and uncertainties[J]. Applied Intelligence, 2022: 1-20.
[3]Yong Gao, Wu Wei, Xinmei Wang, Yanjie Li, Dongliang Wang, Qiuda Yu.Feasibility, planning and control of ground-wall transition for a suctorial hexapod robot[J]. Applied Intelligence, 2021: 1-19.
[4] Gao, Yong and Wang, Dongliang and Wei, Wu and Yu, Qiuda and Liu, Xiongding and Wei, Yuhai. Constrained predictive tracking control for unmanned hexapod robot with tripod gait[J]. Drones, 2022, 6(9): 246.
[5] T Gao，W Wei，Z Cai，Z Fan，S Xie，X Wang，Q Yu. CI-Net: Contextual information for joint semantic segmentation and depth estimation[J]. arXiv preprint arXiv:2107.13800, 2021.
[6] Gao, Tianxiao，Wei, Wu，Cai, Zhongbin，Fan, Zhun，Xie, Sheng Quan，Wang, Xinmei，Yu, Qiuda. CI-Net: A joint depth estimation and semantic segmentation network using contextual information[J]. Applied Intelligence, 2022, 52(15): 18167-18186.
[7] Ullah, F; Wei, W; Fan, Z; Yu, QD. 6D object pose estimation based on dense convolutional object center voting with improved accuracy and efficiency[J]. The Visual Computer, 2023: 1-14.
[8] Yong Gao, Wu Wei, Xinmei Wang, Dongliang Wang, Yanjie Li, Qiuda Yu. Trajectory tracking of multi-legged robot based on model predictive and sliding mode control[J]. Information Sciences, 2022, 606: 489-511.
[9] Feng K, Wei W, Yu Q, et al. Grasping Prediction Algorithm Based on Full Convolutional Neural Network[C]//Journal of Physics: Conference Series. IOP Publishing, 2021, 1754(1): 012214.
发明专利
[1]魏武,冯凯月,余秋达,等.一种基于目标裁剪区域的指定物体抓取方法:CN202111017083.1[P].CN202111017083.1[2024-05-15].
[2]魏武,冯凯月,余秋达.一种基于级联全卷积神经网络的机器人快速抓取方法:CN202110680313.6[P].CN113327295A[2024-05-15].
[3]曾锦秀,魏武,余秋达.一种基于深度相机的机械臂抓取系统和控制方法:CN202110162253.9[P].CN112936275A[2024-05-15].
[4]周翔,魏武,高勇,等.一种基于强化学习的六足机器人阻抗控制方法.CN202011430098.6[2024-05-15].
项目背景
航道智能航标项目。
基于CPS的工业设备故障预测与健康管理平台。
移动机械臂项目。