Articles | Volume 11, issue 2
https://doi.org/10.5194/ms-11-233-2020
https://doi.org/10.5194/ms-11-233-2020
Research article
 | 
06 Jul 2020
Research article |  | 06 Jul 2020

Spatial cellular robot in orbital truss collision-free path planning

Ye Dai, Zhaoxu Liu, Yunshan Qi, Hanbo Zhang, Bindi You, and Yufei Gao

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Subject: Mechanisms and Robotics | Techniques and Approaches: Optimization
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Cited articles

Alberto, V., Dmitriy, S., and Luis, M.: Robotic active information gathering for spatial field reconstruction with rapidly-exploring random trees and online learning of gaussian processes, Sensors, 19, 1016–1040, https://doi.org/10.3390/s19051016, 2019. 
Anh, V. L., Veerajagadheswar, P., and Vinu, S.: modified A-Star algorithm for efficient coverage path planning in tetris inspired self-reconfigurable robot with integrated laser sensor, Sensors, 18, 2585–2612, https://doi.org/10.3390/s18082585, 2018. 
Chung, W. K. and Xu, Y. S.: Minimum energy demand locomotion on space station, J. Robotic. Syst., 15, 36–51, https://doi.org/10.1155/2013/723535, 2013. 
Gu, S. C., Zhu, H. F., and Li, H.: Optimal collision-free grip planning for biped climbing robots in complex truss environment, Appl. Sci., 8, 2533–2555, https://doi.org/10.3390/app8122533, 2018. 
Hou, F. L. and Shen, W. M.: Graph-based optimal reconfiguration planning for self-reconfigurable robots, Robotics and autonomous systems, Robotics and Autonomous Systems, 62, 1047–1059, https://doi.org/10.1016/j.robot.2013.06.014, 2014. 
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Short summary
Aiming at the problem of moving path planning of a cellular robot on trusses in space station, a triangular prism truss is taken as the research object, and an optimized ant colony algorithm incorporating a gravitational search algorithm is proposed. The simulation results show that the path and planning time of the cellular robot can be effectively reduced when choosing truss path.