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Massive self-organized shape formation in grid environments

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References

  1. Méhes E, Vicsek T. Collective motion of cells: from experiments to models. Integr Biol, 2014, 6: 831–854

    Article  Google Scholar 

  2. Mlot N J, Tovey C A, Hu D L. Fire ants self-assemble into waterproof rafts to survive floods. Proc Natl Acad Sci USA, 2011, 108: 7669–7673

    Article  Google Scholar 

  3. Li J, Tinka A, Kiesel S, et al. Lifelong multi-agent path finding in large-scale warehouses. In: Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, Auckland, 2020. 1898–1900

  4. Strömbom D, Dussutour A. Self-organized traffic via priority rules in leaf-cutting ants. Plos Comput Biol, 2018, 14: e1006523

    Article  Google Scholar 

  5. Rubenstein M, Cornejo A, Nagpal R. Programmable self-assembly in a thousand-robot swarm. Science, 2014, 345: 795–799

    Article  Google Scholar 

  6. Yu J, LaValle S M. Shortest path set induced vertex ordering and its application to distributed distance optimal formation path planning and control on graphs. In: Proceedings of the 52nd IEEE Conference on Decision and Control, 2013. 2775–2780

  7. Chiang H T, Malone N, Lesser K, et al. Path-guided artificial potential fields with stochastic reachable sets for motion planning in highly dynamic environments. In: Proceedings of the IEEE International Conference on Robotics and Automation, 2015. 2347–2354

  8. Zhang W, Mei H. A constructive model for collective intelligence. Natl Sci Rev, 2020, 7: 1273–1277

    Article  Google Scholar 

  9. Jékely G. Evolution of phototaxis. Phil Trans R Soc B, 2009, 364: 2795–2808

    Article  Google Scholar 

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61690200, 61751210).

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Authors and Affiliations

  1. School of Computer Science, Peking University, Beijing, 100871, China

    Wenjie Chu, Wei Zhang, Haiyan Zhao, Zhi Jin & Hong Mei

  2. Key Lab of High Confidence Software Technologies (Peking University), Ministry of Education, Beijing, 100871, China

    Wenjie Chu, Wei Zhang, Haiyan Zhao, Zhi Jin & Hong Mei

Authors
  1. Wenjie Chu
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  2. Wei Zhang
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  3. Haiyan Zhao
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  4. Zhi Jin
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  5. Hong Mei
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Corresponding authors

Correspondence to Wei Zhang or Zhi Jin.

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Massive self-organized shape formation in grid environments

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Chu, W., Zhang, W., Zhao, H. et al. Massive self-organized shape formation in grid environments. Sci. China Inf. Sci. 65, 164101 (2022). https://doi.org/10.1007/s11432-021-3358-y

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