과제정보
This work was supported by the National Natural Science Foundation of China (NO.U2013214) and the Self-Planned Task (NO.SKLRS202001A03) of the State Key Laboratory of Robotics and System (HIT).
참고문헌
- Jovica Riznic (Ed.), Steam Generators for Nuclear Power Plants, Woodhead Publishing, 2017.
- B. Sun, Y. Yang, Numerically investigating the influence of tube support plates on thermal-hydraulic characteristics in a steam generator, Appl. Therm. Eng. 51 (1-2) (2013) 611-622, https://doi.org/10.1016/j.applthermaleng.2012.10.009.
- S.J. Green, G. Hetsroni, PWR steam generators, Int. J. Multiphas. Flow 21 (1995) 1-97.
- J. Li, X. Wu, T. Xu, H. Guo, J. Sun, Q. Gao, A novel inspection robot for nuclear station steam generator secondary side with self-localization, Robotics and Biomimetics 4 (1) (2017), https://doi.org/10.1186/s40638-017-0078-y, 0-8.
- V. Uchanin, V. Najda, E. Hristoforou, The development of eddy current technique for WWER steam generators inspection, in: Steam Generator Systems: Operational Reliability and Efficiency, 2011. Vienna.
- L. Obrutsky, Nuclear steam generator tube inspection tools, in: Steam Generators for Nuclear Power Plants, Elsevier Ltd, 2017, https://doi.org/10.1016/B978-0-08-100894-2.00018-2.
- N.I. Kolev, N.I. Kolev, Multiphase Flow Dynamics, vol. 1, Springer, New York, Heidelberg, Berlin, 2005.
- S. Yamamoto, January). Development of inspection robot for nuclear power plant, in: Proceedings 1992 IEEE International Conference on Robotics and Automation, IEEE Computer Society, 1992, pp. 1559-1560.
- C. Gosselin, Global planning of dynamically feasible trajectories for three-DOF spatial cable-suspended parallel robots, in: Cable-driven Parallel Robots, Springer, Berlin, Heidelberg, 2013, pp. 3-22.
- N. Buniyamin, W.W. Ngah, W. a J. Wan Ngah, N. Sariff, Z. Mohamad, A simple local path planning algorithm for autonomous mobile robots, Int. J. Sys. Appl. Eng. Dev. 5 (2) (2011) 151-159.
- S.M. Persson, I. Sharf, Sampling-based A* algorithm for robot path-planning, Int. J. Robot Res. 33 (13) (2014) 1683-1708, https://doi.org/10.1177/02783649 14547786.
- S. Karaman, M.R. Walter, A. Perez, E. Frazzoli, S. Teller, Anytime motion planning using the RRT, IEEE Int. Conf. Robot. Autom. (2011) 1478-1483, https://doi.org/10.1109/ICRA.2011.5980479.
- M.G. Park, J.H. Jeon, M.C. Lee, Obstacle avoidance for mobile robots using artificial potential field approach with simulated annealing, in: IEEE International Symposium on Industrial Electronics Proceedings, June, 2001.
- R.S. Parpinelli, H.S. Lopes, A.A. Freitas, Data mining with an ant colony optimization algorithm, IEEE Trans. Evol. Comput. 6 (4) (2002) 321-332, https://doi.org/10.1109/TEVC.2002.802452.
- L. Scrucca, GA: a package for genetic algorithms in R, J. Stat. Software 53 (4) (2013) 1-37, https://doi.org/10.18637/jss.v053.i04.
- M.M. Ali, P. Kaelo, Improved particle swarm algorithms for global optimization, Appl. Math. Comput. 196 (2) (2008) 578-593, https://doi.org/10.1016/j.amc.2007.06.0 20.
- M. Zikky, Review of A* (A star) navigation mesh pathfinding as the alternative of artificial intelligent for ghosts agent on the pacman game, EMITTER International Journal of Engineering Technology 4 (1) (2016) 141-149, https://doi.org/10.24003/emitter.v4i1.117.
- J. Yao, C. Lin, X. Xie, A.J.A. Wang, C.C. Hung, Path planning for virtual human motion using improved A* algorithm. ITNG2010, in: 7th International Conference on Information Technology: New Generations, 2010, pp. 1154-1158, https://doi.org/10.1109/ITNG.2010.53.
- F. Duchon, A. Babinec, M. Kajan, P. Beno, M. Florek, T. Fico, L. Jurisica, Path planning with modified A star algorithm for a mobile robot, Procedia Engineering 96 (2014) 59-69, https://doi.org/10.1016/j.proeng.2014.12.098.
- A.K. Guruji, H. Agarwal, D.K. Parsediya, Time-efficient A* algorithm for robot path planning, Procedia Technology 23 (2016) 144-149, https://doi.org/10.1016/j.protcy.2016.03.010.
- J. Carsten, D. Ferguson, A. Stentz, 3D field D*: improved path planning and replanning in three dimensions, IEEE International Conference on Intelligent Robots and Systems (2006) 3381-3386, https://doi.org/10.1109/IROS.2006.282516.
- J. Peng, Y. Huang, G. Luo, Robot path planning based on improved A* algorithm, Cybern. Inf. Technol. 15 (2) (2015) 171-180, https://doi.org/10.1515/cait-2015-0036.
- W. Xin, L. Wanlin, F. Chao, H. Likai, Path planning research based on an improved A* algorithmfor mobile robot, IOP Conf. Ser. Mater. Sci. Eng. 569 (5) (2019), https://doi.org/10.1088/1757-899X/569/5/052044.
- D. Harabor, A. Grastien, Improving jump point search, Proceedings International Conference on Automated Planning and Scheduling, ICAPS, January (2014) 128-135.