Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
Y Bai, B Zhang, N Xu, J Zhou, J Shi, Z Diao - Computers and Electronics in …, 2023 - Elsevier
Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …
prerequisite for the accomplishment of various tasks. However, precision navigation of …
A comparative review on mobile robot path planning: Classical or meta-heuristic methods?
The involvement of Meta-heuristic algorithms in robot motion planning has attracted the
attention of researchers in the robotics community due to the simplicity of the approaches …
attention of researchers in the robotics community due to the simplicity of the approaches …
Modified adaptive ant colony optimization algorithm and its application for solving path planning of mobile robot
L Wu, X Huang, J Cui, C Liu, W Xiao - Expert Systems with Applications, 2023 - Elsevier
As the key point for auto-navigation of mobile robot, path planning is a research hotspot in
the field of robot. Generally, the ant colony optimization algorithm (ACO) is one of the …
the field of robot. Generally, the ant colony optimization algorithm (ACO) is one of the …
Voronoi-based multi-robot autonomous exploration in unknown environments via deep reinforcement learning
Autonomous exploration is an important application of multi-vehicle systems, where a team
of networked robots are coordinated to explore an unknown environment collaboratively …
of networked robots are coordinated to explore an unknown environment collaboratively …
Path planning based on deep reinforcement learning for autonomous underwater vehicles under ocean current disturbance
The path planning issue of the underactuated autonomous underwater vehicle (AUV) under
ocean current disturbance is studied in this paper. In order to improve the AUV's path …
ocean current disturbance is studied in this paper. In order to improve the AUV's path …
Path planning method with improved artificial potential field—a reinforcement learning perspective
The artificial potential field approach is an efficient path planning method. However, to deal
with the local-stable-point problem in complex environments, it needs to modify the potential …
with the local-stable-point problem in complex environments, it needs to modify the potential …
Trajectory planning for a 6-axis robotic arm with particle swarm optimization algorithm
Robotic arms, which are favored for usage in both large-and small-scale industrial regions,
run into issues with numerous limits between the starting and ending locations in the …
run into issues with numerous limits between the starting and ending locations in the …
TriPField: A 3D potential field model and its applications to local path planning of autonomous vehicles
Potential fields have been integrated with local path-planning algorithms for autonomous
vehicles (AVs) to tackle challenging scenarios with dense and dynamic obstacles. Most …
vehicles (AVs) to tackle challenging scenarios with dense and dynamic obstacles. Most …
QMOEA: A Q-learning-based multiobjective evolutionary algorithm for solving time-dependent green vehicle routing problems with time windows
The vehicle routing problem with time windows (VRPTW) is critical in the fields of operations
research and combinatorial optimization. To promote research on the multiobjective …
research and combinatorial optimization. To promote research on the multiobjective …
Critical design and control issues of indoor autonomous mobile robots: A review
Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …
environments and surrounding objects are known as autonomous mobile robots. Such …