（1）国家自然科学基金青年项目《面向大尺度混凝土建构的多机器人协同3D打印路径规划方法研究》

（2）陕西省自然科学基金青年项目《高层建筑火灾烟雾下的多UAV协同目标检测与分布式路径规划方法研究》

（3）横向课题《数字风洞软件界面框架设计开发》《飞行器人工智能气动模型界面开发封装与测试》《整体装配式钢结构模块化技术》等

[1] Xu D, Hui Z, Liu YQ, et al. Morphing control of a new bionic morphing UAV with deep reinforcement learning[J]. Aerospace Science and Technology. 2019(92): 232~243.
[2] Xu D, Chen G. Autonomous and cooperative control of UAV cluster with Multi-Agent Reinforcement Learning[J]. The Aeronautical Journal. 2022.
[3] Xu D, Chen G. Reinforcement learning for autonomous morphing control and cooperative operations of UAV cluster[M]. In: Koubaa A., Azar A.T. (eds) Deep Learning for Unmanned Systems. Studies in Computational Intelligence, 2021, 984: 309~354. Springer, Cham.
[4] Xu D, Chen G. The research on intelligent cooperative combat of UAV cluster with multi-agent reinforcement learning[J]. Aerospace Systems, 2021, 5(1):107~121.
[5] Xu D. Research on Optimization Design Method of Autonomous Deformation Decision for Intelligent Morphing Aircraft[C]. In: Fu, S. (eds) 2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) Proceedings. APISAT 2023. Lecture Notes in Electrical Engineering, 2024, 1050. Springer, Singapore.
[6]Xu D , Wang J .A New Trajectory Optimization Design Method of Smart Morphing Aircraft[J].2024 China Automation Congress (CAC), 2024:3759-3764.

[7] 徐丹,王江涛.智能变形飞行器自主决策轨迹优化方法设计[J].计算机科学, 2025(S1).

[8] 刘永琦, 徐丹, 程归等. 改进 A*算法的 UAV 快速轨迹规划方法[J].飞行力学, 2020, 38(2): 40~46.

[9] Zhang Z, Gao B, Wang J, Xu D, Gang C, Yao W. A generalised force equivalence-based modelling method for a dry wind-tunnel flutter test system[J]. Aeronautical Journal -New Series-, 2021, 125(1286): 720~741.