Accurate dynamics modeling for unmanned helicopters remains challenging because rotor aerodynamics, structural vibrations, and actuator dynamics are strongly coupled, nonlinear, and rapidly time varying during flight. To address this challenge, we propose a physics-guided fusion and feature processing framework for unm...
Bo-Han Zhang, Chao Chen, Jiang-Lan Fu et al.· Journal of Machine Learning...· 0 citations
Experimental results show that SG-Layout improves spatial reasoning accuracy and geometric consistency over the compact open-source backbone, with particularly clear advantages in relation-dense and compositionally complex scenes.
Junsheng Wang, Chao Chen, Mengying Xie et al.· 0 citations
EdgeCoInfer, a hierarchical collaborative inference framework enabling efficient on-device MLLM inference through coarse-to-fine orchestration, and a Hybrid Evolutionary Hierarchical Reinforcement Learning (HE-HRL) framework to tackle the non-differentiable combinatorial explosion.
Lin Tan, Songtao Guo, Mingyan Li et al.· arXiv.org· 0 citations
WA-TD3 is introduced, a data-driven control framework that enables real-time wind disturbance perception and adaptive compensation without dedicated wind sensors, and consistently outperforms state-of-the-art methods on tracking accuracy under strong winds.
Hui-Dong Liu, Jia-Rui Dou, Jiang-Shan Ai et al.· Proceedings of the Thirty-Fi...· 0 citations
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