[1] Zibaei, E. and M.A. Amiri Atashgah, A behaviorbased approach to simultaneous realization of leaderfollowing and obstacle-avoidance behaviours for a flying robot, Sharif Journal of Mechanical Engineering, 34(1): pp. 73-85,( 2018).
[2] Pham, H., et al., A survey on unmanned aerial vehicle collision avoidance systems, arXiv preprint arXiv:1508.07723, (2015).
[3] Sasongko, R.A., S. Rawikara, and H.J. Tampubolon, Uav obstacle avoidance algorithm based on ellipsoid geometry, Journal of Intelligent & Robotic Systems, 88(2-4): pp. 567-581.( 2017).
[4] Islam, M.R., et al., Mobile robot path planning with obstacle avoidance using chemical reaction optimization, Soft Computing, 25(8): pp. 6283- 6310,( 2021).
[5].Cai, Z., et al., Quadrotor trajectory tracking and obstacle avoidance by chaotic grey wolf optimization-based active disturbance rejection control, Mechanical Systems and Signal Processing, 128: pp. 636-654,( 2019).
[6].Ajeil, F.H., et al., Autonomous navigation and obstacle avoidance of an omnidirectional mobile robot using swarm optimization and sensors deployment, International Journal of Advanced Robotic Systems, 17(3): pp. 1729881420929498,
(2020).
[7].Vadakkepat, P., T. Kay Chen, and M.-L. Wang. Evolutionary artificial potential fields and their application in real time robot path planning, in Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512), (2000).
[8].Park, M.G. and M.C. Lee, A new technique to escape local minimum in artificial potential field based path planning, KSME International Journal, 17(12): pp. 1876-1885, (2003).
[9].Sabudin, E., R. Omar, and C. Che Ku Melor, Potential field methods and their inherent approaches for path planning, ARPN Journal of Engineering and Applied Sciences, 11(18): p. 10801-10805, (2016).
[10] Yan, X., et al., Formation Control and Obstacle Avoidance Algorithm of a Multi-USV System Based on Virtual Structure and Artificial Potential Field, Journal of Marine Science and Engineering, 9(2): pp. 161, (2021).
[11] Feng, S., Y. Qian, and Y. Wang, Collision avoidance method of autonomous vehicle based on improved artificial potential field algorithm. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, pp. 09544070211014319, (2021).
[12] Duhé, J.-F., S. Victor, and P. Melchior, Contributions on artificial potential field method for effective obstacle avoidance, Fractional Calculus and Applied Analysis, 24(2): pp. 421-446, (2021).
[13] Chen, Y., et al., Path Planning and Obstacle Avoiding of the USV Based on Improved ACO-APF Hybrid Algorithm With Adaptive Early-Warning, IEEE Access, 9: pp. 40728-40742, (2021).
[14] Keymasi Khalaji, A. and I. Saadat, Tracking control of quadrotors in the presence of obstacles based on potential field method. Amirkabir Journal of Mechanical Engineering, 53(2 (Special Issue)): p. 4-4, (2021).
[15] Ma’Arif, A., et al. Artificial Potential Field Algorithm for Obstacle Avoidance in UAV Quadrotor for Dynamic Environment, in 2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). IEEE, (2021).
[16] Heidari, H. and M. Saska, Collision-free trajectory planning of multi-rotor UAVs in a wind condition based on modified potential field, Mechanism and Machine Theory, 156: pp. 104140, (2021).
[17] Han, K., J. Lee, and Y. Kim, Unmanned aerial vehicle swarm control using potential functions and sliding mode control, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 222(6): pp. 721-730, (2008).
[18] Stastny, T.J., G.A. Garcia, and S.S. Keshmiri, Collision and obstacle avoidance in unmanned aerial systems using morphing potential field navigation and nonlinear model predictive control, Journal of Dynamic Systems, Measurement, and Control, 137(1), (2015).
[19] Mirzaee Kahagh, A., F. Pazooki, and S. Etemadi Haghighi, Obstacle avoidance in V-shape formation flight of multiple fixed-wing UAVs using variable repulsive circles, The Aeronautical Journal, 124(1282): pp. 1979-2000, (2020).
[20] Ai, X.L., et al., Optimal formation control with limited communication for multi-unmanned aerial vehicle in an obstacle-laden environment. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 231(6): pp. 979-997,( 2017).
[21] Chang, K., Y. Xia, and K. Huang, UAV formation control design with obstacle avoidance in dynamic three-dimensional environment, SpringerPlus, 5(1): pp. 1124, (2016).
[22] Niculescu, M. Lateral track control law for Aerosonde UAV, in 39th Aerospace Sciences Meeting and Exhibit. (2001).
[23] Roskam, J., Airplane flight dynamics and automatic flight controls, DARcorporation, (1998:).
)
