Abstract
Because of the radioactivity, the nuclear environment operation requires robot system to complete. In this paper, a modular robot system for nuclear environment operation is developed, which is easy to maintain, reconfigurable and reliable. Besides, this paper proposes a vision-based method for robot tool changing with the base coordinates of robot inaccurate. The prototype test proves the feasibility of the robot system and the validity of the vision-based tool changing method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abouaf, J.: Trial by fire: teleoperated robot targets chemobyl. IEEE Comput. Graph. Appl. 18, 10–14 (1998)
Maimone, M., Matthies, L., Osborn, J.: A photo-realistic 3-D mapping system for extreme nuclear environments chemobyl. In: Conference on Intelligent Robots and Systems (1998)
Oka, K., Shibanuma, K.: Development of a radiation-proof robot. Adv. Robot. 16, 493–496 (2002)
Mano, T., Hamada, S.: Development of a robot system for nuclear emergency preparedness. Adv. Robot. 16, 477–479 (2002)
Hosoda, Y., Yamamoto, H., Hattori, M.: A robot for nuclear disaster prevention support. Adv. Robot. 16, 485–488 (2002)
Rohmer, E., Ohno, K., Yoshida, T.: Integration of a sub-crawlers’ autonomous control in quince highly mobile rescue robot. In: IEEE/SICE International Symposium on System Integration (2010)
Rohmer, E., Yoshida, T., Ohno, K.: Quince: a collaborative mobile robotic platform for rescue robots research for development. In: Proceeding of International Conference on Advanced Mechatronics (2010)
Duan, X.G., Yang, Y.: Control system for blocking plate manipulation robot based on visual servo. In: 13th International Conference on ICIA. IEEE (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Li, Y., Ge, S.S., Wei, Q., Zhou, D., Chen, Y. (2018). Modular Robotic System for Nuclear Decommissioning. In: Ge, S., et al. Social Robotics. ICSR 2018. Lecture Notes in Computer Science(), vol 11357. Springer, Cham. https://doi.org/10.1007/978-3-030-05204-1_29
Download citation
DOI: https://doi.org/10.1007/978-3-030-05204-1_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-05203-4
Online ISBN: 978-3-030-05204-1
eBook Packages: Computer ScienceComputer Science (R0)