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A Current Location Confidence Algorithm for Service Robot in Elder-Care Environment

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Intelligent Robotics and Applications (ICIRA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13455))

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Abstract

Identifying the wrong location is one of the prerequisites for mobile service robots to work safely and stably. This paper proposes a current location confidence algorithm (CLCA) suitable for mobile service robots in the elder-care environment. In this method, the laser data is matched with the grid map information to obtain the current location confidence, which is used in the safety module to identify the wrong location. Compared with other laser-based methods, the CLCA is not limited by the geometric features of the map, so it is particularly applicable for the elder-care environment with complex space scenes. To verify the feasibility of the CLCA, we have experimented with calculating the current location confidence of the robot. The experimental results show that this method can identify the wrong location and take safety measures.

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Correspondence to Donghui Zhao .

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Zhang, Z., Zhao, D., Yang, Z., Yang, J. (2022). A Current Location Confidence Algorithm for Service Robot in Elder-Care Environment. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13455. Springer, Cham. https://doi.org/10.1007/978-3-031-13844-7_9

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  • DOI: https://doi.org/10.1007/978-3-031-13844-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13843-0

  • Online ISBN: 978-3-031-13844-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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