麻豆做爱

[1] 国家自然科学基金面上项目，大型船舶构件刚柔耦合焊接机器人动态特性分析与自主跟踪控制研究，主持。

[2]国家自然科学基金青年基金，刚柔耦合腰部康复机器人动态特性分析与控制策略研究，主持。

[3]国家自然科学基金联合基金重点项目，高灵巧磁流变仿生手基础理论与关键技术研究，合作主持。

[4]流体动力基础件与机电系统全国重点实验室开放基金，主持。

[5] 国家自然科学基金重点项目，大型复杂构件高性能刚柔耦合驱动喷涂机器人基础理论与关键技术，主要参与。

[6]企业委托项目，受限空间内基于强化学习的机器人运动规划与分拣操作研究，主持。

[7] 麻豆做爱 学术新人提升计划B项目，主持。

[8] 麻豆做爱 学术新人提升计划A项目，主持。

[9]国家自然科学基金联合基金重点项目，基于索并联机构的大型复杂表面涂装机器人理论及应用研究，参与。

部分论文：

[1]Yuan Li,Yang Hu,Bin Zi, et al.Uncertainty analysis and experimental study of a cable-driven parallel lumbar rehabilitation robot based on evidence theory[J].ASME Journal of Mechanical Design,2026,148(3): 033302.

[2] 李元,孙智,訾斌,等.基于改进高阶无迹卡尔曼滤波的膝踝康复矫形器预测控制与实验研究[J].机械工程学报, 2025,61(11): 57-71.

[3] Wei Wang,Jiahao Zhao, Yuan Li,et al.Kinematic modeling and workspace analysis of a cable-driven parallel robot considering environmentalcollisions[J].ASME Journal of Mechanisms and Robotics, 2025,17(9): 091011.

[4] Yuan Li, Bin Zi, Zhi Sun, et al. Implementation of cable-driven waist rehabilitation robotic system using fractional-order controller[J].Mechanism and Machine Theory, 2023, 190: 105460.

[5] Yuan Li, Bin Zi, Zhi Sun, et al. Smooth trajectory planning for a cable driven parallel waist rehabilitation robot based on rehabilitation evaluation factors[J].Chinese Journal of Mechanical Engineering, 2023, 36: 73.

[6]Wei Wang, Yuan Li, Zhi Wang, et al. Cooperative motion planning for a mobile cable-driven parallel robot in complex and constrained environments[J]. Mechanism and Machine Theory, 2026, 230: 106586.

[7] Zhi Sun, Yuan Li, Bin Zi, et al. Development and dynamic state estimation for robotic knee-ankle orthosis with shape memory alloy actuators[J].ASME Journal of Mechanical Design, 2024, 146(1): 013302.

[8]訾斌, 潘敬锋, 李元, 等. 智能喷涂机器人编程方法与遥操作技术研究综述[J]. 控制与决策, 2025, 40(4): 1057-1078.

[9] Kai Tang, Yuan Li, Bin Zi, et al. A multimodal unsupervised coating defect detection method based on dual-branch hybrid CNN-Mamba UNet[J]. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 5026617.

[10]Kai Tang, Yuan Li, Bin Zi. Fast and high-precision 3D reconstruction for robotic visualmeasurement via end-to-end conditioned residual diffusion[J]. Advanced EngineeringInformatics, 2026, 72: 104502.