A Survey on the autonomous exploration of confined subterranean spaces: Perspectives from real-word and industrial robotic deployments
Confined and subterranean areas are common in many civilian and industrial sites,
although they are hazardous for humans given the presence of noxious gases, extreme …
although they are hazardous for humans given the presence of noxious gases, extreme …
Electric Logistics Vehicle Path Planning Based on the Fusion of the Improved A-Star Algorithm and Dynamic Window Approach
M Yu, Q Luo, H Wang, Y Lai - World Electric Vehicle Journal, 2023 - mdpi.com
The study of path-planning algorithms is crucial for an electric logistics vehicle to reach its
target point quickly and safely. In light of this, this work suggests a novel path-planning …
target point quickly and safely. In light of this, this work suggests a novel path-planning …
Path planning of mobile robots in dynamic environment based on analytic geometry and cubic Bézier curve with three shape parameters
V Bulut - Expert Systems with Applications, 2023 - Elsevier
With the improvement of technology, autonomous mobile robots have become an
indispensable part of human life. Since path planning is the crucial part of mobile robots …
indispensable part of human life. Since path planning is the crucial part of mobile robots …
Local path planning for mobile robots based on fuzzy dynamic window algorithm
Y Sun, W Wang, M Xu, L Huang, K Shi, C Zou, B Chen - Sensors, 2023 - mdpi.com
Due to the increased employment of robots in modern society, path planning methods based
on human–robot collaborative mobile robots have been the subject of research in both …
on human–robot collaborative mobile robots have been the subject of research in both …
Efficient online planning and robust optimal control for nonholonomic mobile robot in unstructured environments
In complex environments where occupied and unknown areas exceed the free space, it is
essential for robots to utilize efficient methods for environmental perception, trajectory …
essential for robots to utilize efficient methods for environmental perception, trajectory …
Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot
Path planning creates the shortest path from the source to the destination based on sensory
information obtained from the environment. Within path planning, obstacle avoidance is a …
information obtained from the environment. Within path planning, obstacle avoidance is a …
Cooperative path planning study of distributed multi-mobile robots based on optimised ACO algorithm
Z Cai, J Liu, L Xu, J Wang - Robotics and Autonomous Systems, 2024 - Elsevier
The rapid development of robotics technology has driven the growth of robot types and the
development of related technologies. As an important aspect of robot research, path …
development of related technologies. As an important aspect of robot research, path …
Mobile Robot Path Planning Based on Improved Particle Swarm Optimization and Improved Dynamic Window Approach
Z Yang, N Li, Y Zhang, J Li - Journal of Robotics, 2023 - Wiley Online Library
To enable mobile robots to effectively complete path planning in dynamic environments, a
hybrid path planning method based on particle swarm optimization (PSO) and dynamic …
hybrid path planning method based on particle swarm optimization (PSO) and dynamic …
[PDF][PDF] Robot Collision Avoidance based on Artificial Potential Field with Local Attractors.
This paper presents a novel collision avoidance technique that allows the robot to reach a
desired position by avoiding obstacles passing through preferred regions. The method …
desired position by avoiding obstacles passing through preferred regions. The method …
Localized Path Planning for Mobile Robots Based on a Subarea-Artificial Potential Field Model
Q Lv, G Hao, Z Huang, B Li, D Fu, H Zhao, W Chen… - Sensors, 2024 - mdpi.com
The artificial potential field method has efficient obstacle avoidance ability, but this traditional
method suffers from local minima, unreasonable paths, and sudden changes in heading …
method suffers from local minima, unreasonable paths, and sudden changes in heading …