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A General Batch-Calibration Framework of Service Robots

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Intelligent Robotics and Applications (ICIRA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10464))

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Abstract

Calibration is important to service robot, but the process of calibration is time consuming and laborious. With the popularity of service robot, an automatic and universal calibration system is urgent to be developed, therefore we propose a general batch-calibration framework, Motion Capture System is adopt as an external measurement device in virtual of it can provide realtime, accurate movement data of measured objects. We will show that the system is effective and promising with a case study of odometry calibration.

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Acknowledgments

This work was supported in part by National Natural Science Foundation of China under grant No. 61603368, the Youth Innovation Promotion Association of CAS (No. 2015373), and Natural Science Foundation of Anhui Province under grant No. 1608085QF134.

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Authors and Affiliations

  1. Multi-Agent Systems Lab, School of Computer Science and Technology, University of Science and Technology of China, Hefei, 230027, Anhui, China

    Kuisong Zheng, Yingfeng Chen, Feng Wu & Xiaoping Chen

Authors
  1. Kuisong Zheng
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  2. Yingfeng Chen
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  3. Feng Wu
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  4. Xiaoping Chen
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Corresponding author

Correspondence to Feng Wu .

Editor information

Editors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    YongAn Huang

  2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Hao Wu

  3. Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

  4. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

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Zheng, K., Chen, Y., Wu, F., Chen, X. (2017). A General Batch-Calibration Framework of Service Robots. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10464. Springer, Cham. https://doi.org/10.1007/978-3-319-65298-6_26

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  • DOI: https://doi.org/10.1007/978-3-319-65298-6_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65297-9

  • Online ISBN: 978-3-319-65298-6

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