An autonomous mobile robot based on quantum algorithm

Authors:
Daoyi Dong;Chunlin Chen;Chenbin Zhang;Zonghai Chen
Affiliations:
Department of Automation, University of Science and Technology of China, Hefei, Anhui, China;Department of Automation, University of Science and Technology of China, Hefei, Anhui, China;Department of Automation, University of Science and Technology of China, Hefei, Anhui, China;Department of Automation, University of Science and Technology of China, Hefei, Anhui, China
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Year:
2005

Citing 3
Cited 1

Quantum computation and quantum information

Quantum computation and quantum information
Introduction to Reinforcement Learning

Introduction to Reinforcement Learning
Quantum reinforcement learning

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II

Grey reinforcement learning for incomplete information processing

TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation

Quantified Score

Hi-index	0.01

Visualization

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.