A constrained A* approach towards optimal path planning for an unmanned surface vehicle in a maritime environment containing dynamic obstacles and ocean …

Y Singh, S Sharma, R Sutton, D Hatton, A Khan - Ocean Engineering, 2018 - Elsevier
Efficient path planning is a critical issue for the navigation of modern unmanned surface
vehicles (USVs) characterized by a complex operating environment having dynamic …

A survey of formation control and motion planning of multiple unmanned vehicles

Y Liu, R Bucknall - Robotica, 2018 - cambridge.org
The increasing deployment of multiple unmanned vehicles systems has generated large
research interest in recent decades. This paper therefore provides a detailed survey to …

Enhancing path quality of real-time path planning algorithms for mobile robots: A sequential linear paths approach

R Fareh, M Baziyad, T Rabie, M Bettayeb - IEEE Access, 2020 - ieeexplore.ieee.org
The traditional trade-off between execution speed and path quality has forced real-time
robotic path planning algorithms to sacrifice path quality in order to execute in real-time …

Study on intelligent collision avoidance and recovery path planning system for the waterjet-propelled unmanned surface vehicle

B Shi, Y Su, C Wang, L Wan, Y Luo - Ocean Engineering, 2019 - Elsevier
To avoid collision accidents and achieve independent recovery in the cluttered marine
environment, this work proposes an intelligent path planning system for a waterjet-propelled …

Formation control of UAVs and mobile robots using self-organized communication topologies

W Zhu, M Allwright, MK Heinrich, S Oğuz… - … conference on swarm …, 2020 - Springer
Formation control in a robot swarm targets the overall swarm shape and relative positions of
individual robots during navigation. Existing approaches often use a global reference or …

[HTML][HTML] AutoTuning environment for static obstacle avoidance methods applied to USVs

R Guardeño, MJ López, J Sánchez… - Journal of Marine …, 2020 - mdpi.com
This work is focused on reactive Static Obstacle Avoidance (SOA) methods used to increase
the autonomy of Unmanned Surface Vehicles (USVs). Currently, there are multiple …

Artificial potential field path planning algorithm in differential drive mobile robot platform for dynamic environment

MMJ Samodro, RD Puriyanto… - International Journal of …, 2023 - pubs2.ascee.org
Mobile robots need path-planning abilities to achieve a collision-free trajectory. Obstacles
between the robot and the goal position must be passed without crashing into them. The …

[HTML][HTML] Second path planning for unmanned surface vehicle considering the constraint of motion performance

J Fan, Y Li, Y Liao, W Jiang, L Wang, Q Jia… - Journal of Marine …, 2019 - mdpi.com
When utilizing the traditional path planning method for unmanned surface vehicles
(USVs),'planning-failure'is a common phenomenon caused by the inflection points of large …

[HTML][HTML] Enhanced artificial potential field for MASS's path planning navigation in restricted waterways

Z Wang, N Im - Applied Ocean Research, 2024 - Elsevier
Abstract The navigation of Maritime Autonomous Surface Ships (MASS) in complex maritime
environments requires robust algorithms for effective path planning. This study presents a …

Hybrid methodology for path planning and computational vision applied to autonomous mission: A new approach

FO Coelho, MF Pinto, JPC Souza, ALM Marcato - Robotica, 2020 - cambridge.org
In recent years, mobile robots have become increasingly frequent in daily life applications,
such as cleaning, surveillance, support for the elderly and people with disabilities, as well as …