Tao Liu, Junmin Li, Simon X. Yang, Zhidong Gong, Zhi li Liu, Hao Zhong, and Qiang Fu


  1. [1] I.A. Hameed, A. La Cour-Harbo, and O.L. Osen, Side-to-side 3D coverage path planning approach for agricultural robots to minimize skip/overlap areas between swaths, Robotics and Autonomous Systems, 76, 2016, 36–45.
  2. [2] E. Glorieux, P. Franciosa, and D. Ceglarek, Coverage path planning with targetted viewpoint sampling for robotic freeform surface inspection, Robotics and Computer-Integrated Manufacturing, 61, 2020.
  3. [3] X. Miao, J. Lee, and B.Y. Kang, Scalable Coverage path planning for cleaning robots using rectangular map decomposition on large environments, IEEE Access, 6, 2018, 38200–38215.
  4. [4] M.A.V.J. Muthugala, A.V. Le, and E.S. Cruz, A self-organizing fuzzy logic classifier for benchmarking robot-aided blasting of ship hulls, Sensors, 20(11), 2020.
  5. [5] D.C. Slaughter, D.K. Giles, and D. Downey, Autonomous robotic weed control systems: A review, Computers and Electronics in Agriculture, 61(1), 2008, 63–78.
  6. [6] S. Fountas, N. Mylonas, and I. Malounas, Agricultural robotics for field operations, Sensors, 20(9), 2020, 27.
  7. [7] S. Aggarwal and N. Kumar, Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges, Computer Communications, 149, 2020, 270–299.
  8. [8] H.L. Wang, C.J. Zhang, and Y. Song, Robot Arm Perceptive Exploration based Significant Slam in Search and Rescue Environment, International Journal of Robotics and Automation, 33(4), 2018, 394–406.
  9. [9] A. Majeed and S. Lee, A new coverage flight path planning algorithm based on footprint sweep fitting for unmanned aerial vehicle navigation in urban environments, Applied SciencesBasel, 9(7), 2019.
  10. [10] E. Menendez, J.G. Victores, and R. Montero, Tunnel structural inspection and assessment using an autonomous robotic system, Automation in Construction, 87, 2018, 117–126.
  11. [11] A. Bakdi, A. Hentout, and H. Boutami, Optimal path planning and execution for mobile robots using genetic algorithm and adaptive fuzzy-logic control, Robotics and Autonomous Systems, 89, 2017, 95–109.
  12. [12] B.H. Qiang, Z.L. Liu, and Y.F. Wang, Service composition based on improved genetic algorithm and analytical hierarchy process, International Journal of Robotics and Automation, 33(2), 2018, 169–178.
  13. [13] L. Wang and C. Luo, A hybrid genetic Tabu search algorithm for mobile robot to solve AS/RS path planning, International Journal of Robotics and Automation, 33(2), 2018, 161–168.
  14. [14] F.H. Ajeil, I.K. Ibraheem, and M.A. Sahib, Multi-objective path planning of an autonomous mobile robot using hybrid PSO-MFB optimization algorithm, Applied Soft Computing, 89, 2020.
  15. [15] M. Brand, M. Masuda, and N. Wehner, Ant Colony Optimization algorithm for robot path planning, International Conference on Computer Design and Applications (Qinhuangdao, China, 2010).
  16. [16] X.M. You, S. Liu, and C. Zhang, An improved ant colony system algorithm for robot path planning and performance analysis, International Journal of Robotics and Automation, 33(5), 2018, 527–533.
  17. [17] J.X. Jiang and J.B. Xin, Path planning of a mobile robot in a free-space environment using Q-learning, Progress in Artificial Intelligence, 8(1), 2019, 133–142.
  18. [18] B. Hao and Z.P. Yan, Recovery path planning for an agricultural mobile robot by Dubins-RRT algorithm, International Journal of Robotics and Automation, 33(2), 2018, 202–207.
  19. [19] S. Dogru and L. Marques, A-Based solution to the coverage path planning problem (Springer, Cham, 2017).
  20. [20] F.Y. Xie and X.P. Shi, A global path planning algorithm for manned submersible based on improved ant colony algorithms, International Journal of Robotics and Automation, 36(4), 2021, 204–210.
  21. [21] W. Zhang, S.L. Wei, and J. Zeng, Multi-UUV path planning based on improved artificial potential field method, International Journal of Robotics and Automation, 36(4), 2021, 231–239.
  22. [22] U. Orozco-Rosas, O. Montiel, and R. Sepulveda, Mobile robot path planning using membrane evolutionary artificial potential field, Applied Soft Computing, 77, 2019, 236–251.
  23. [23] D.M. Zhao, W. Xiong, and Z.Y. Shu, Simulated annealing with a hybrid local search for solving the traveling salesman problem, Journal of Computational and Theoretical Nanoscience, 12(7), 2015, 1165–1169.
  24. [24] B.K. Ayawli, X. Mei, M.Q. Shen, Optimized RRT-A path planning method for mobile robots in partially known environment, Information Technology and Control, 48(2), 2019, 179–194.
  25. [25] M. Shen, S. Wang, and S. Wang, Simulation study on coverage path planning of autonomous tasks in hilly farmland based on energy consumption model, Mathematical Problems in Engineering, 2020, 2020, 1–15.
  26. [26] J. Li, Z. Xu, and D. Zhu, Bio-inspired intelligence with applications to robotics: A survey (2021).
  27. [27] S. Markaki, C. Panagiotakis, and D. Lasthiotaki, Image sorting via a reduction in travelling salesman problem, IET Image Processing, 14(1), 2020, 31–39.
  28. [28] A.E.-S. Ezugwu, A.O. Adewumi, and M.E. Frincu, Simulated annealing based symbiotic organisms search optimization algorithm for traveling salesman problem, Expert Systems with Applications, 77, 2017, 189–210.
  29. [29] Z. Zhang, Z. Xu, and S. Luan, Opposition-based ant colony optimization algorithm for the traveling salesman problem, Mathematics, 8(10), 2020.
  30. [30] S.-h. Zhan, J. Lin, and Z.-j. Zhang, List-based simulated annealing algorithm for traveling salesman problem, Computational Intelligence and Neuroscience, 2016, 2016.
  31. [31] L. Kovács, A. Agárdi, and T. Bányai, Fitness landscape analysis and edge weighting-based optimization of vehicle routing problems, Processes, 8(11), 2020, 1363.
  32. [32] W. Gao, Modified ant colony optimization with improved tour construction and pheromone updating strategies for traveling salesman problem, Soft Computing, 2020.
  33. [33] Y. Harrath, Three-step metaheuristic for the multiple objective multiple traveling salesmen problem, International Journal of Applied Metaheuristic Computing, 11(4), 2020, 130–148.
  34. [34] J. Jin and L. Tang, Optimal coverage path planning for arable farming on 2d surfaces, Transactions of the Asabe, 53(1), 2010, 283–295. 11

Important Links:

Go Back