A comprehensive review of coverage path planning in robotics using classical and heuristic algorithms
CS Tan, R Mohd-Mokhtar, MR Arshad - IEEE Access, 2021 - ieeexplore.ieee.org
The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …
Path planning and obstacle avoiding of the USV based on improved ACO-APF hybrid algorithm with adaptive early-warning
Y Chen, G Bai, Y Zhan, X Hu, J Liu - Ieee Access, 2021 - ieeexplore.ieee.org
Path planning is important to the efficiency and navigation safety of USV autonomous
operation offshore. To improve path planning, this study proposes the improved ant colony …
operation offshore. To improve path planning, this study proposes the improved ant colony …
A path planning method based on the particle swarm optimization trained fuzzy neural network algorithm
X Liu, D Zhang, J Zhang, T Zhang, H Zhu - Cluster Computing, 2021 - Springer
The basic fuzzy neural network algorithm has slow convergence and large amount of
calculation, so this paper designed a particle swarm optimization trained fuzzy neural …
calculation, so this paper designed a particle swarm optimization trained fuzzy neural …
Comprehensive ocean information-enabled AUV path planning via reinforcement learning
The path planning of the autonomous underwater vehicle (AUV) has shown great potential
in various Internet of Underwater Things (IoUT) applications. Although considerable efforts …
in various Internet of Underwater Things (IoUT) applications. Although considerable efforts …
The intelligent path planning system of agricultural robot via reinforcement learning
Agricultural robots are one of the important means to promote agricultural modernization
and improve agricultural efficiency. With the development of artificial intelligence technology …
and improve agricultural efficiency. With the development of artificial intelligence technology …
Safety-certified constrained control of maritime autonomous surface ships for automatic berthing
The berthing of maritime autonomous surface ships (MASSs) is a challenging operation
even for an experienced captain due to the required complicated maneuvering at low …
even for an experienced captain due to the required complicated maneuvering at low …
Bio-inspired neural network-based optimal path planning for UUVs under the effect of ocean currents
To eliminate the effect of ocean currents when addressing the optimal path in the
underwater environment, an intelligent algorithm designed for the unmanned underwater …
underwater environment, an intelligent algorithm designed for the unmanned underwater …
Behavior-based formation control digital twin for multi-AUG in edge computing
The new generation of artificial intelligence technology has improved the autonomous
monitoring capabilities of marine equipment. The ocean monitoring platform based on edge …
monitoring capabilities of marine equipment. The ocean monitoring platform based on edge …
CCIBA*: An Improved BA* Based Collaborative Coverage Path Planning Method for Multiple Unmanned Surface Mapping Vehicles
The main emphasis of this work is placed on the problem of collaborative coverage path
planning for unmanned surface mapping vehicles (USMVs). As a result, the collaborative …
planning for unmanned surface mapping vehicles (USMVs). As a result, the collaborative …
A new coverage path planning algorithm for unmanned surface mapping vehicle based on A-star based searching
This paper investigates the coverage path planning issues and mapping platform
construction for unmanned surface mapping vehicle (USMV). An improved BA∗(IBA∗) …
construction for unmanned surface mapping vehicle (USMV). An improved BA∗(IBA∗) …