Cite

Yazici, A., Kirlik, G., Parlaktuna, O., & Sipahioglu, A. (2017). A dynamic path planning approach for multirobot sensor-based coverage considering energy constraints. IEEE Transactions on Cybernetics, 44(3), 305-314. Search in Google Scholar

Willners, J. S., Gonzalez-Adell, D., Juan David Hernández, Pairet, R., & Petillot, Y. (2021). Online 3-dimensional path planning with kinematic constraints in unknown environments using hybrid a* with tree pruning. Sensors, 21(4), 1152. Search in Google Scholar

Kantaros, Y., & Zavlanos, M. M. (2018). Distributed intermittent connectivity control of mobile robot networks. IEEE Transactions on Automatic Control, PP(7), 1-1. Search in Google Scholar

Moslemi, M. M., Sadedel, M., & Moghadam, M. M. (2022). Optimizing vertical jumping height of single-legged robots with passive toe joints using the genetic algorithm. International journal of humanoid robotics(1), 19. Search in Google Scholar

Zhang, Z., Xu, X., Yue, F., & Ba, Y. (2023). Robot path planning based on concept lattice. International journal of approximate reasoning. Search in Google Scholar

Saeed, R. A., Recupero, D. R., & Remagnino, P. (2021). The boundary node method for multi-robot multi-goal path planning problems. Expert Systems. Search in Google Scholar

SUN Ping · SHAN Rui. (2020). Predictive control with velocity observer for cushion robot based on pso for path planning. Journal of Systems Science & Complexity, 33(4), 988-1011. Search in Google Scholar

Lee, Ji, Yang, & Cheol-soo. (2018). Path planning for scara robot based on marker detection using feature extraction and, labelling. International Journal of Computer Integrated Manufacturing. Search in Google Scholar

Castellini, A., Marchesini, E., & Farinelli, A. (2021). Partially observable monte carlo planning with state variable constraints for mobile robot navigation. Engineering Applications of Artificial Intelligence, 104, 104382-. Search in Google Scholar

Pinto, A. M., Moreira, E., Lima, José, Sousa, José Pedro, & Costa, P. (2017). A cable-driven robot for architectural constructions: a visual-guided approach for motion control and path-planning. Autonomous Robots. Search in Google Scholar

Yu, C. J. (2018). Smooth path planning for robot docking in unknown environment with obstacles. Complexity, 2018(Pta14). Search in Google Scholar

Cui, P., Yan, W., Cui, R., & Yu, J. (2018). Smooth path planning for robot docking in unknown environment with obstacles. Complexity, 2018, 1-17. Search in Google Scholar

Sahu, B., Das, P. K., & Kumar, R. (2023). A modified cuckoo search algorithm implemented with sca and pso for multi-robot cooperation and path planning. Cognitive Systems Research, 79, 24-42. Search in Google Scholar

Ajeil, F. H., Ibraheem, I. K., Sahib, M. A., & Humaidi, A. J. (2020). Multi-objective path planning of an autonomous mobile robot using hybrid pso-mfb optimization algorithm. Applied Soft Computing, 89, 106076. Search in Google Scholar

Rahman, K. N. N. (2019). Optimum harvesting area of convex and concave polygon field for path planning of robot combine harvester. Intelligent Service Robotics, 12(2). Search in Google Scholar

Jianwei, W., Deer, B., Xiaobing, F., Zhongpu, W., & Yin, Z. (2018). Ga based adaptive singularity-robust path planning of space robot for on-orbit detection. Complexity, 2018, 1-11. Search in Google Scholar

Shi, B., & Wu, H. (2021). Space robot motion path planning based on fuzzy control algorithm. Journal of Intelligent and Fuzzy Systems(4), 1-8. Search in Google Scholar

Dai, Y., Liu, Z., Qi, Y., Zhang, H., & Gao, Y. (2020). Spatial cellular robot in orbital truss collision-free path planning. Mechanical Sciences, 11(2), 233-250. Search in Google Scholar

Haiyang, C., Longhui, N., & Yebiao, J. (2020). Research on path planning of robot based on adaptive acs fused with shaa neural network:. Measurement and Control, 53(9-10), 1911-1919. Search in Google Scholar

Dutta, A., Bhattacharya, A., Kreidl, O. P., Ghosh, A., & Dasgupta, P. (2020). Multi-robot informative path planning in unknown environments through continuous region partitioning:. International Journal of Advanced Robotic Systems, 17(6), 2204-2211. Search in Google Scholar

Wang, Lei, Luo, & Chaomin. (2018). A hybrid genetic tabu search algorithm for mobile robot to solve as/rs path planning. International Journal of Robotics & Automation, 33(2), 161-168. Search in Google Scholar

Tang, Y., Zhou, R., Sun, G., Di, B., & Xiong, R. (2020). A novel cooperative path planning for multi-robot persistent coverage in complex environments. IEEE Sensors Journal, PP(99), 1-1. Search in Google Scholar

Lee, C. S. (2018). Path planning for scara robot based on marker detection using feature extraction and, labelling. International Journal of Computer Integrated Manufacturing, 31(7a9). Search in Google Scholar

Gler, F., & Kasap, E. (2018). A path planning method for robot end effector motion using the curvature theory of the ruled surfaces. International Journal of Geometric Methods in Modern Physics, 15(3). Search in Google Scholar

Vikas, & Parhi, D. R. (2023). Chaos-based optimal path planning of humanoid robot using hybridized regression-gravity search algorithm in static and dynamic terrains. Applied Soft Computing. Search in Google Scholar

Xu, L., Cao, M., & Song, B. (2022). A new approach to smooth path planning of mobile robot based on quartic bezier transition curve and improved pso algorithm. Neurocomputing(Feb.7), 473. Search in Google Scholar

Lai, Q., & Xu, G. H. (2020). A new path planning method of mobile robot based on adaptive dynamic firefly algorithm. Modern Physics Letters B, 34(15). Search in Google Scholar

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