[HTML][HTML] A systematic review on recent advances in autonomous mobile robot navigation
A Loganathan, NS Ahmad - Engineering Science and Technology, an …, 2023 - Elsevier
Recent years have seen a dramatic rise in the popularity of autonomous mobile robots
(AMRs) due to their practicality and potential uses in the modern world. Path planning is …
(AMRs) due to their practicality and potential uses in the modern world. Path planning is …
[HTML][HTML] Thorough review analysis of safe control of autonomous vehicles: path planning and navigation techniques
Mobile robot path planning has passed through multiple phases of development and took up
several challenges. Up to now and with the new technology in hands, it becomes less …
several challenges. Up to now and with the new technology in hands, it becomes less …
A path planning strategy unified with a COLREGS collision avoidance function based on deep reinforcement learning and artificial potential field
L Li, D Wu, Y Huang, ZM Yuan - Applied Ocean Research, 2021 - Elsevier
Improving the autopilot capability of ships is particularly important to ensure the safety of
maritime navigation. The unmanned surface vessel (USV) with autopilot capability is a …
maritime navigation. The unmanned surface vessel (USV) with autopilot capability is a …
Research on robot path perception and optimization technology based on whale optimization algorithm
J Zan - Journal of Computational and Cognitive Engineering, 2022 - ojs.bonviewpress.com
With the development of modern sensor technology, the automatic movement of robot has
become a reality, and improving the path planning performance of robot in dynamic and …
become a reality, and improving the path planning performance of robot in dynamic and …
Collision-free motion planning for the litchi-picking robot
L Ye, J Duan, Z Yang, X Zou, M Chen… - Computers and Electronics …, 2021 - Elsevier
In unstructured environments, picking robots could collide with branches, thus reducing the
success rate of picking. In this study, collision-free motion planning is performed in two steps …
success rate of picking. In this study, collision-free motion planning is performed in two steps …
[HTML][HTML] An effective dynamic path planning approach for mobile robots based on ant colony fusion dynamic windows
L Yang, L Fu, P Li, J Mao, N Guo - Machines, 2022 - mdpi.com
To further improve the path planning of the mobile robot in complex dynamic environments,
this paper proposes an enhanced hybrid algorithm by considering the excellent search …
this paper proposes an enhanced hybrid algorithm by considering the excellent search …
[HTML][HTML] A review of path planning for unmanned surface vehicles
B Xing, M Yu, Z Liu, Y Tan, Y Sun, B Li - Journal of Marine Science and …, 2023 - mdpi.com
With the continued development of artificial intelligence technology, unmanned surface
vehicles (USVs) have attracted the attention of countless domestic and international …
vehicles (USVs) have attracted the attention of countless domestic and international …
GWO-potential field method for mobile robot path planning and navigation control
A navigation control methodology is proposed in this paper, which utilizes a hybrid concept
of grey wolves optimisation (GWO) algorithm and an artificial potential field (APF) method for …
of grey wolves optimisation (GWO) algorithm and an artificial potential field (APF) method for …
Active obstacle avoidance method of autonomous vehicle based on improved artificial potential field
Y Duan, C Yang, J Zhu, Y Meng… - International Journal of …, 2022 - journals.sagepub.com
Aiming at the local minimum point problem in an artificial potential field based on a safe
distance model, this article proposes an algorithm for active obstacle avoidance path …
distance model, this article proposes an algorithm for active obstacle avoidance path …
[HTML][HTML] Path planning for autonomous mobile robots using multi-objective evolutionary particle swarm optimization
I Thammachantuek, M Ketcham - Plos one, 2022 - journals.plos.org
In this article, a new path planning algorithm is proposed. The algorithm is developed on the
basis of the algorithm for finding the best value using multi-objective evolutionary particle …
basis of the algorithm for finding the best value using multi-objective evolutionary particle …