R.K. Mandava, S. Bondada, P.R. Vundavilli, An optimized path planning for the mobile robot using potential field method and PSO algorithm, in: Soft Computing for Problem Solving, Springer, 2019, pp. 139-150.
 A. Iqbal, M. Iqbal, Controller Design of Two-Wheeled Differential Drive with a Passive Castor Wheel using Feedback Linearization, in: Proceedings Of World Symposium On Computer Networks And Information Security, N&N Global Technology, (2014), pp. 87-92.
 M. Korayem, A. Shafei, H. Shafei, Dynamic modeling of nonholonomic wheeled mobile manipulators with elastic joints using recursive Gibbs–Appell formulation, Scientia Iranica, 19(4) (2012) 1092-1104.
 Z. Li, S.S. Ge, M. Adams, W.S. Wijesoma, Adaptive robust output-feedback motion/force control of electrically driven nonholonomic mobile manipulators, IEEE Transactions on Control Systems Technology, 16(6) (2008) 1308-1315.
 G.W. Gamage, G.K. Mann, R.G. Gosine, Discrete event systems based formation control framework to coordinate multiple nonholonomic mobile robots, in: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, (2009), pp. 4831-4836.
 Y.P. Kondratenko, P. Khalaf, H. Richter, D. Simon, Fuzzy Real-Time Multi-objective Optimization of a Prosthesis Test Robot Control System, in: Advanced Control Techniques in Complex Engineering Systems: Theory and Applications, Springer, (2019), pp. 165-185.
 C.-F. Juang, T.B. Bui, Reinforcement Neural Fuzzy Surrogate-Assisted Multiobjective Evolutionary Fuzzy Systems with Robot Learning Control Application, IEEE Transactions on Fuzzy Systems, (2019).
 R.R. dos Santos, V. Steffen, S. de FP Saramago, Robot path planning in a constrained workspace by using optimal control techniques, Multibody System Dynamics, 19(1-2) (2008) 159-177.
 D. Drake, S. Koziol, E. Chabot, Mobile robot path planning with a moving goal, IEEE Access, 6 (2018) 12800-12814.
 D. Ji, J. Cheng, B. Wang, Path planning for mobile robots in complex environment via laser sensor, in: 2018 Chinese Control And Decision Conference (CCDC), IEEE, (2018), pp. 2715-2719.
 K. Akka, F. Khaber, Optimal fuzzy tracking control with obstacles avoidance for a mobile robot based on Takagi-Sugeno fuzzy model, Transactions of the Institute of Measurement and Control, (2018) 0142331218811462.
 A.M. Varghese, V. Jisha, Motion Planning and Control of an Autonomous Mobile Robot, in: 2018 International CET Conference on Control, Communication, and Computing (IC4), IEEE, (2018), pp. 17-21.
 A. Azzabi, K. Nouri, An advanced potential field method proposed for mobile robot path planning, Transactions of the Institute of Measurement and Control, (2019) 0142331218824393.
 Y. Hu, S.X. Yang, A knowledge based genetic algorithm for path planning of a mobile robot, in: IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA'04. 2004, IEEE, (2004), pp. 4350-4355.
 A. Haj Darwish, A. Joukhadar, M. Kashkash, Using the Bees Algorithm for wheeled mobile robot path planning in an indoor dynamic environment, Cogent Engineering, 5(1) (2018) 1426539.
 A.A. Zhilenkov, I.R. Epifantsev, System of autonomous navigation of the drone in difficult conditions of the forest trails, in: 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), IEEE, (2018), pp. 1036-1039.
 T. Abut, S. Soyguder, Real-time control and application with self-tuning PID-type fuzzy adaptive controller of an inverted pendulum, Industrial Robot: the international journal of robotics research and application, 46(1) (2019) 159-170.
 A. Shukla, R. Tiwari, R. Kala, Mobile robot navigation control in moving obstacle environment using A* algorithm, Intelligent Systems Engineering Systems through Artificial Neural Networks, 18 (2008) 113-120.