Control of Multi-robot Systems Using a Future Map
Author:
Affiliation:
1. Graduate School of Engineering, Nagoya University
2. Graduate School of Informatics, Kyoto University
3. Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology
Publisher
The Institute of Systems, Control and Information Engineers
Link
https://www.jstage.jst.go.jp/article/iscie/37/2/37_55/_pdf
Reference25 articles.
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2. [2] W. J. Yun, J. P. Kim, S. Jung, J. -H. Kim and J. Kim: Quantum multi-agent actor-critic neural networks for internet-connected multi-robot coordination in smart factory management; IEEE Internet of Things Journal, pp. 1–1 (2023)
3. [3] G. Oliveira, P. D. M. Plentz and J. T. Carvalho: Multi-constrained voronoi-based task allocator for smart-warehouses; IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI), pp. 515–520 (2021)
4. [4] P. K. Mishra, T. Wang, M. Gazzola and G. Chowdhary: Centralized model predictive control with distributed adaptation; 59th IEEE Conference on Decision and Control (CDC), pp. 697–703 (2020)
5. [5] L. Wang, A. D. Ames and M. Egerstedt: Multiobjective compositions for collision-free connectivity maintenance in teams of mobile robots; IEEE 55th Conference on Decision and Control (CDC), pp. 2659–2664 (2016)
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