[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 …
A survey of learning-based intelligent optimization algorithms
W Li, GG Wang, AH Gandomi - Archives of Computational Methods in …, 2021 - Springer
A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …
extensively researched in the past few decades, through the study of natural creatures, and …
Reinforcement based mobile robot path planning with improved dynamic window approach in unknown environment
L Chang, L Shan, C Jiang, Y Dai - Autonomous robots, 2021 - Springer
Mobile robot path planning in an unknown environment is a fundamental and challenging
problem in the field of robotics. Dynamic window approach (DWA) is an effective method of …
problem in the field of robotics. Dynamic window approach (DWA) is an effective method of …
Solving the optimal path planning of a mobile robot using improved Q-learning
ES Low, P Ong, KC Cheah - Robotics and Autonomous Systems, 2019 - Elsevier
Q-learning, a type of reinforcement learning, has gained increasing popularity in
autonomous mobile robot path planning recently, due to its self-learning ability without …
autonomous mobile robot path planning recently, due to its self-learning ability without …
[HTML][HTML] Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators
MA Blais, MA Akhloufi - Cognitive Robotics, 2023 - Elsevier
Robots such as drones, ground rovers, underwater vehicles and industrial robots have
increased in popularity in recent years. Many sectors have benefited from this by increasing …
increased in popularity in recent years. Many sectors have benefited from this by increasing …
A centralized strategy for multi-agent exploration
This paper introduces recently developed Aquila Optimization Algorithm specifically
configured for Multi-Robot space exploration. The proposed hybrid framework “Coordinated …
configured for Multi-Robot space exploration. The proposed hybrid framework “Coordinated …
Modified Q-learning with distance metric and virtual target on path planning of mobile robot
Path planning is an essential element in mobile robot navigation. One of the popular path
planners is Q-learning–a type of reinforcement learning that learns with little or no prior …
planners is Q-learning–a type of reinforcement learning that learns with little or no prior …
[HTML][HTML] Energy-efficient robot configuration and motion planning using genetic algorithm and particle swarm optimization
The implementation of Industry 5.0 necessitates a decrease in the energy consumption of
industrial robots. This research investigates energy optimization for optimal motion planning …
industrial robots. This research investigates energy optimization for optimal motion planning …
Multi-robot exploration in task allocation problem
RJ Alitappeh, K Jeddisaravi - Applied Intelligence, 2022 - Springer
Task allocation is an important problem in multi-robot system which can be defined with
different setup for different application, ie coverage, surveillance and mining mission in static …
different setup for different application, ie coverage, surveillance and mining mission in static …
A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot
Autonomous mobile robot path planning in unknown and dynamic environment is a crucial
task for successful mobile robot navigation. This study proposes an improved Q-learning …
task for successful mobile robot navigation. This study proposes an improved Q-learning …