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A new hopfield-type neural network approach to multi-goal vehicle navigation in unknown environments.

, , , and . ICVES, page 1-6. IEEE, (2016)

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Real-time area-covering operations with obstacle avoidance for cleaning robots., , and . IROS, page 2359-2364. IEEE, (2002)A neural network approach to complete coverage path planning., and . IEEE Trans. Syst. Man Cybern. Part B, 34 (1): 718-724 (2004)Multi-Robot Directed Coverage Path Planning in Row-based Environments., , , and . AIKE, page 114-121. IEEE, (2022)An effective vector-driven biologically-motivated neural network algorithm to real-time autonomous robot navigation., , , and . ICRA, page 4094-4099. IEEE, (2014)A computationally efficient neural dynamics approach to trajectory planning of an intelligent vehicle., , , and . IJCNN, page 934-939. IEEE, (2014)A continuous hopfield neural network based on dynamic step for the traveling salesman problem., , , and . IJCNN, page 3318-3323. IEEE, (2017)Model-Free Reinforcement Learning based Lateral Control for Lane Keeping., , , , and . IJCNN, page 1-7. IEEE, (2019)Optimal Trajectory Planning for Multiple Waypoint Path Planning using Tabu Search., and . UEMCON, page 497-501. IEEE, (2018)Magnetic Bacterial Optimization Algorithm for Mobile Robot Path Planning., , and . BIC-TA (2), volume 682 of Communications in Computer and Information Science, page 334-339. Springer, (2016)Enhancing Human-Robot Cohesion through HAT Methods: A Crowd-Avoidance Model for Safety Aware Navigation., , , , and . ICHMS, page 1-6. IEEE, (2024)