Abstract
Modular robots are robots capable of changing their morphology to perform various tasks and to adapt to different environments. In order to explore these versatile robots potentialities, they must be assembled and operated in as many different configurations as possible. This paper presents an original assembly sequence planning to target structures formed by shape heterogeneous modular robots systems. Each robot system is composed by any number of rectangular modules joined edge to edge, forming arbitrary shapes. The new planner is divided into three original algorithms and constitute a complete and novel method to build target structures without internal holes.
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Chen, W.C., Tai, P.H., Deng, W.J., Hsieh, L.F.: A three-stage integrated approach for assembly sequence planning using neural networks. Expert Syst. Appl. 34(3), 1777–1786 (2008). doi:10.1016/j.eswa.2007.01.034. http://www.sciencedirect.com/science/article/pii/S0957417407000541
Dong, T., Tong, R., Zhang, L., Dong, J.: A knowledge-based approach to assembly sequence planning. Int. J. Adv. Manuf. Technol. 32(11), 1232–1244 (2007). doi:10.1007/s00170-006-0438-1.
Fazio, T.D., Whitney, D.: Simplified generation of all mechanical assembly sequences. IEEE J. Robot. Autom. 3(6), 640–658 (1987). doi:10.1109/JRA.1987.1087132
Ghandi, S., Masehian, E.: A breakout local search (BLS) method for solving the assembly sequence planning problem. Eng. Appl. Artif. Intell. 39, 245–266 (2015). doi:10.1016/j.engappai.2014.12.009. http://www.sciencedirect.com/science/article/pii/S0952197614003017
Halperin, D., Latombe, J.C., Wilson, R.H.: A general framework for assembly planning: the motion space approach. Algorithmica 26(3), 577–601 (2000). doi:10.1007/s004539910025.
Hsu, Y.Y., Chen, W.C., Tai, P.H., Tsai, Y.T.: A Knowledge-Based Engineering System for Assembly Sequence Planning, pp. 123–126. Springer, London (2010). doi:10.1007/978-1-84996-432-6_28.
Ibrahim, I., Ibrahim, Z., Ahmad, H., Jusof, M.F.M., Yusof, Z.M., Nawawi, S.W., Mubin, M.: An assembly sequence planning approach with a rule-based multi-state gravitational search algorithm. Int. J. Adv. Manuf. Technol. 79(5), 1363–1376 (2015). doi:10.1007/s00170-015-6857-0.
Jiménez, P.: Survey on assembly sequencing: a combinatorial and geometrical perspective. J. Intell. Manuf. 24(2), 235–250 (2013). doi:10.1007/s10845-011-0578-5.
Lee, S., Shin, Y.G.: Assembly Coplanner : Cooperative Assembly Planner based on Subassembly Extraction, pp. 315–339. Springer, Boston (1991). doi:10.1007/978-1-4615-4038-0_13.
Lv, H., Lu, C.: An assembly sequence planning approach with a discrete particle swarm optimization algorithm. Int. J. Adv. Manuf. Technol. 50(5), 761–770 (2010). doi:10.1007/s00170-010-2519-4.
de Mello, L.S.H., Sanderson, A.C.: And/or graph representation of assembly plans. In: Proceedings of the Fifth AAAI National Conference on Artificial Intelligence, AAAI 1986, pp. 1113–1119. AAAI Press (1986). http://dl.acm.org/citation.cfm?id=2887770.2887953
Pan, H., Hou, W.J., Li, T.M.: Genetic algorithm for assembly sequences planning based on heuristic assembly knowledge. In: Frontiers of Manufacturing and Design Science, Applied Mechanics and Materials, vol. 44, pp. 3657–3661. Trans Tech Publications (2011). doi:10.4028/www.scientific.net/AMM.44-47.3657
Paulos, J., Eckenstein, N., Tosun, T., Seo, J., Davey, J., Greco, J., Kumar, V., Yim, M.: Automated self-assembly of large maritime structures by a team of robotic boats. IEEE Trans. Autom. Sci. Eng. 12(3), 958–968 (2015). doi:10.1109/TASE.2015.2416678
Seo, J., Yim, M., Kumar, V.: Assembly sequence planning for constructing planar structures with rectangular modules. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 5477–5482 (2016). doi:10.1109/ICRA.2016.7487761
Wang, J., Liu, J., Zhong, Y.: A novel ant colony algorithm for assembly sequence planning. Int. J. Adv. Manuf. Technol. 25(11), 1137–1143 (2005). doi:10.1007/s00170-003-1952-z
Werfel, J., Bar-Yam, Y., Rus, D., Nagpal, R.: Distributed construction by mobile robots with enhanced building blocks. In: Proceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006, pp. 2787–2794 (2006). doi:10.1109/ROBOT.2006.1642123
Werfel, J., Ingber, D., Nagpal, R.: Collective construction of environmentally-adaptive structures. In: 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2345–2352 (2007). doi:10.1109/IROS.2007.4399462
Werfel, J., Nagpal, R.: Extended stigmergy in collective construction. IEEE Intell. Syst. 21(2), 20–28 (2006). doi:10.1109/MIS.2006.25
Wilson, R.H., Latombe, J.C.: Geometric reasoning about mechanical assembly. Artif. Intell. 71(2), 371–396 (1994). doi:10.1016/0004-3702(94)90048-5. http://www.sciencedirect.com/science/article/pii/0004370294900485
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Salvi, A.Z., Simoni, R., Simas, H. (2018). Assembly Sequence Planning for Shape Heterogeneous Modular Robot Systems. In: Carvalho, J., Martins, D., Simoni, R., Simas, H. (eds) Multibody Mechatronic Systems. MuSMe 2017. Mechanisms and Machine Science, vol 54. Springer, Cham. https://doi.org/10.1007/978-3-319-67567-1_12
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DOI: https://doi.org/10.1007/978-3-319-67567-1_12
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