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   Liang, Runzhe; Veerapaneni, Rishi; Harabor, Daniel; Li, Jiaoyang; Likhachev, Maxim (July 2025, Proceedings of the International Symposium on Combinatorial Search)

   The vast majority of Multi-Agent Path Finding (MAPF) methods with completeness guarantees require planning full-horizon paths. However, planning full-horizon paths can take too long and be impractical in real-world applications. Instead, real-time planning and execution, which only allows the planner a finite amount of time before executing and replanning, is more practical for real-world multi-agent systems. Several methods utilize real-time planning schemes but none are provably complete, which leads to livelock or deadlock. Our main contribution is Real-Time LaCAM, the first Real-Time MAPF method with provable completeness guarantees. We do this by leveraging LaCAM in an incremental fashion. Our results show how we can iteratively plan for congested environments with a cutoff time of milliseconds while still maintaining the same success rate as full-horizon LaCAM. We also show how it can be used with a single-step learned MAPF policy. 

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2. Real-data-driven real-time reconfigurable microwave reflective surface

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   Wen, Erda; Yang, Xiaozhen; Sievenpiper, Daniel F. (December 2023, Nature Communications)

   Abstract Manipulating the electromagnetic (EM) scattering behavior from an arbitrary surface dynamically on arbitrary design goals is an ultimate ambition for many EM stealth and communication problems, yet it is nearly impossible to accomplish with conventional analysis and optimization techniques. Here we present a reconfigurable conformal metasurface prototype as well as a workflow that enables it to respond to multiple design targets on the reflection pattern with extremely low on-site computing power and time. The metasurface is driven by a sequential tandem neural network which is pre-trained using actual experimental data, avoiding any possible errors that may arise from calculation, simulation, or manufacturing tolerances. This platform empowers the surface to operate accurately in a complex environment including varying incident angle and operating frequency, or even with other scatterers present close to the surface. The proposed data-driven approach requires minimum amount of prior knowledge and human effort yet provides maximized versatility on the reflection control, stepping towards the end form of intelligent tunable EM surfaces. 

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3. Real monodromy action

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   Hauenstein, Jonathan D.; Regan, Margaret H. (May 2020, Applied Mathematics and Computation)
4. Real topological Hochschild homology via the norm and Real Witt vectors

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   Angelini-Knoll, Gabriel; Gerhardt, Teena; Hill, Michael A (December 2025, Advances in Mathematics)
5. Hurewicz images of real bordism theory and real Johnson–Wilson theories

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   Li, Guchuan; Shi, XiaoLin Danny; Wang, Guozhen; Xu, Zhouli (January 2019, Advances in Mathematics)