Abstract
In this paper, we design a novel autonomous mobile robot which uses quantum sensors to detect faint signals and fulfills some learning tasks using quantum reinforcement learning (QRL) algorithms. In this robot, a multi-sensor system is designed with SQUID sensor and quantum Hall sensor, where quantum sensors coexist with traditional sensors. A novel QRL algorithm is applied and a simple simulation example demonstrates its validity. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Dong, D., Chen, C., Zhang, C., & Chen, Z. (2005). An autonomous mobile robot based on quantum algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3801 LNAI, pp. 393–398). https://doi.org/10.1007/11596448_57
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