[HTML][HTML] Path planning techniques for mobile robots: Review and prospect

L Liu, X Wang, X Yang, H Liu, J Li, P Wang - Expert Systems with …, 2023 - Elsevier
Mobile robot path planning refers to the design of the safely collision-free path with shortest
distance and least time-consuming from the starting point to the end point by a mobile robot …

Collaborative sensing in internet of things: A comprehensive survey

S He, K Shi, C Liu, B Guo, J Chen… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Collaborative sensing leverages the cooperation of a collection of sensors to complete a
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …

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 …

A survey of underwater search for multi-target using Multi-AUV: Task allocation, path planning, and formation control

L Wang, D Zhu, W Pang, Y Zhang - Ocean Engineering, 2023 - Elsevier
There are significant advantages using the autonomous underwater vehicle (AUV) for
underwater search. Compared with a single AUV, multi-AUV offers greater efficiency and …

Multi-robot coordination analysis, taxonomy, challenges and future scope

JK Verma, V Ranga - Journal of intelligent & robotic systems, 2021 - Springer
Abstract Recently, Multi-Robot Systems (MRS) have attained considerable recognition
because of their efficiency and applicability in different types of real-life applications. This …

Manipulability optimization of redundant manipulators using dynamic neural networks

L **, S Li, HM La, X Luo - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
For solving the singularity problem arising in the control of manipulators, an efficient way is
to maximize its manipulability. However, it is challenging to optimize manipulability …

Data management in industry 4.0: State of the art and open challenges

TP Raptis, A Passarella, M Conti - IEEE Access, 2019 - ieeexplore.ieee.org
Information and communication technologies are permeating all aspects of industrial and
manufacturing systems, expediting the generation of large volumes of industrial data. This …

A novel algorithm of multi-AUVs task assignment and path planning based on biologically inspired neural network map

D Zhu, B Zhou, SX Yang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
The task assignment and path planning of a multi-AUVs system has now attracted
considerable attention and become a hotspot in the research. In this paper, a novel …

Transformer-based imitative reinforcement learning for multirobot path planning

L Chen, Y Wang, Z Miao, Y Mo, M Feng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Multirobot path planning leads multiple robots from start positions to designated goal
positions by generating efficient and collision-free paths. Multirobot systems realize …

Biologically inspired self-organizing map applied to task assignment and path planning of an AUV system

D Zhu, X Cao, B Sun, C Luo - IEEE Transactions on Cognitive …, 2017 - ieeexplore.ieee.org
An integrated biologically inspired self-organizing map (SOM) algorithm is proposed for task
assignment and path planning of an autonomous underwater vehicle (AUV) system in 3-D …