StigMAP: stigmergy-guided manifold projection using diffusion models for multi-agent localization

Yan ZHANG , Rong XIE

Front. Comput. Sci. ›› 2027, Vol. 21 ›› Issue (4) : 2104332

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Front. Comput. Sci. ›› 2027, Vol. 21 ›› Issue (4) :2104332 DOI: 10.1007/s11704-026-51839-w
Artificial Intelligence
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StigMAP: stigmergy-guided manifold projection using diffusion models for multi-agent localization
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Multi-agent localization / manifold learning / diffusion model / stigmergy / planar flow

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Yan ZHANG, Rong XIE. StigMAP: stigmergy-guided manifold projection using diffusion models for multi-agent localization. Front. Comput. Sci., 2027, 21(4): 2104332 DOI:10.1007/s11704-026-51839-w

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References

[1]

Li J, Ma H, Zhang Z, Li J, Tomizuka M . Spatio-temporal graph dual-attention network for multi-agent prediction and tracking. IEEE Transactions on Intelligent Transportation Systems, 2022, 23( 8): 10556–10569

[2]

Li Y, Ren S, Wu P, Chen S, Feng C, Zhang W. Learning distilled collaboration graph for multi-agent perception. In: Proceedings of the 35th International Conference on Neural Information Processing Systems. 2021, 2261

[3]

Liu Y C, Tian J, Glaser N, Kira Z. When2com: multi-agent perception via communication graph grouping. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2020, 4105−4114

[4]

Jin X B, Gong W T, Kong J L, Bai Y T, Su T L . PFVAE: a planar flow-based variational auto-encoder prediction model for time series data. Mathematics, 2022, 10( 4): 610

[5]

Bassanetti T, Cezera S, Delacroix M, Escobedo R, Blanchet A, Sire C, Theraulaz G . Cooperation and deception through stigmergic interactions in human groups. Proceedings of the National Academy of Sciences of the United States of America, 2023, 120( 42): e2307880120

[6]

Wen G, Ugrinovskii V. Distributed consensus of linear multi-agent systems with switching directed topologies. In: Proceedings of the 4th Australian Control Conference (AUCC). 2014, 146−151

[7]

Zhang L, Li Y, Lou J, Lu J . Bipartite asynchronous impulsive tracking consensus for multi-agent systems. Frontiers of Information Technology & Electronic Engineering, 2022, 23( 10): 1522–1532

[8]

Dong G, Li H, Ma H, Lu R . Finite-time consensus tracking neural network FTC of multi-agent systems. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32( 2): 653–662

[9]

Wang B, Zhang L, Wang Z, Zhao Y, Zhou T. CORE: cooperative reconstruction for multi-agent perception. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023, 8676−8686

[10]

Li Y, Li Y X, Tong S . Event-based finite-time control for nonlinear multiagent systems with asymptotic tracking. IEEE Transactions on Automatic Control, 2023, 68( 6): 3790–3797

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