A Robot to Monitor Nuclear Facilities: Using Autonomous Radiation-Monitoring Assistance to Reduce Risk and Cost

Nuclear facilities often require continuous monitoring to ensure there is no contamination of radioactive materials that might lead to safety or environmental issues. The current approach to radiological monitoring is to use human operators, which is both time consuming and cost inefficient. As with many repetitive, routine tasks, there are considerable opportunities for the process to be improved using autonomous robotic systems.

[1]  Kuniaki Kawabata,et al.  Radiation imaging using a compact Compton camera inside the Fukushima Daiichi Nuclear Power Station building , 2018 .

[2]  Kazuya Yoshida,et al.  Emergency response to the nuclear accident at the Fukushima Daiichi Nuclear Power Plants using mobile rescue robots , 2013, J. Field Robotics.

[3]  Hajime Asama,et al.  Unitization for portability of emergency response surveillance robot system: experiences and lessons learned from the deployment of the JAEA-3 emergency response robot at the Fukushima Daiichi Nuclear Power Plants , 2017, ROBOMECH Journal.

[4]  Christian Bettstetter,et al.  Coordinated multi-robot exploration: Out of the box packages for ROS , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[5]  Martin Zavala,et al.  Autonomous detection and characterization of nuclear materials using co-robots , 2016 .

[6]  Ritu Tiwari,et al.  A survey on multi robots area exploration techniques and algorithms , 2016, 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT).

[7]  Songmin Jia,et al.  Map Merging for Multi-robot Systems Based on Hierarchical Topology Structure under RTM Framework , 2013 .

[8]  Howie Choset,et al.  Coverage for robotics – A survey of recent results , 2001, Annals of Mathematics and Artificial Intelligence.

[9]  Yonggang Ma,et al.  Application and Standardization Trend of Maintenance and Inspection Robot (MIR) in Nuclear Power Station , 2017 .

[10]  Gal A. Kaminka,et al.  Efficient frontier detection for robot exploration , 2014, Int. J. Robotics Res..

[11]  Matthew Nancekievill The radiation tolerance and development of robotic platforms for nuclear decommissioning , 2018 .

[12]  J. Shuler Understanding Radiation Science: Basic Nuclear and Health Physics , 2006 .

[13]  Dieter Fox,et al.  Adapting the Sample Size in Particle Filters Through KLD-Sampling , 2003, Int. J. Robotics Res..

[14]  Sebastian Thrun,et al.  FastSLAM: a factored solution to the simultaneous localization and mapping problem , 2002, AAAI/IAAI.

[15]  John J. Leonard,et al.  Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age , 2016, IEEE Transactions on Robotics.

[16]  Sahar Trigui,et al.  Robot Path Planning and Cooperation - Foundations, Algorithms and Experimentations , 2018, Studies in Computational Intelligence.

[17]  Najib Mahjoubi,et al.  RICA: A Tracked Robot for Sampling and Radiological Characterization in the Nuclear Field , 2017, J. Field Robotics.

[18]  Peter G. Martin,et al.  3D unmanned aerial vehicle radiation mapping for assessing contaminant distribution and mobility , 2016, Int. J. Appl. Earth Obs. Geoinformation.