Local Path Planning for Mobile Robots Based on Fuzzy Dynamic Window Algorithm. [PDF]
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 academia and industry.
Sun Y +6 more
europepmc +2 more sources
Local Path Planning: Dynamic Window Approach With Virtual Manipulators Considering Dynamic Obstacles
Local path planning considering static and dynamic obstacles for a mobile robot is one of challenging research topics. Conventional local path planning methods generate path candidates by assuming constant velocities for a certain period time. Therefore,
Masato Kobayashi, Naoki Motoi
exaly +3 more sources
LiDAR-Based Local Path Planning Method for Reactive Navigation in Underground Mines
Reactive navigation is the most researched navigation technique for underground vehicles. Local path planning is one of the main research difficulties in reactive navigation. At present, no technique can perfectly solve the problem of local path planning
Yuanjian Jiang +2 more
exaly +3 more sources
An Overview of Machine Learning Techniques in Local Path Planning for Autonomous Underwater Vehicles
Autonomous underwater vehicles (AUVs) have become attractive and essential for underwater search and exploration because of the advantages they offer over manned underwater vehicles. Hence the need to improve AUV technologies.
Mohd Murtadha Mohamad +2 more
exaly +3 more sources
An Improved Global and Local Fusion Path-Planning Algorithm for Mobile Robots
Path planning is a core technology for mobile robots. However, existing state-of-the-art methods suffer from issues such as excessive path redundancy, too many turning points, and poor environmental adaptability.
Shucheng Huang +2 more
exaly +3 more sources
Improved Dynamic Window Approach for Unmanned Surface Vehicles' Local Path Planning Considering the Impact of Environmental Factors. [PDF]
Wang Z +5 more
europepmc +2 more sources
A Comparison of Local Path Planning Techniques of Autonomous Surface Vehicles for Monitoring Applications: The Ypacarai Lake Case-study. [PDF]
Peralta F +4 more
europepmc +2 more sources
A Random Sampling-Based Method via Gaussian Process for Motion Planning in Dynamic Environments
Motion planning is widely applied to industrial robots, medical robots, bionic robots, and smart vehicles. Most work environments of robots are not static, which leads to difficulties for robot motion planning. We present a dynamic Gaussian local planner
Jing Xu +5 more
doaj +1 more source
Path Planning of an Unmanned Surface Vessel Based on the Improved A-Star and Dynamic Window Method
In order to ensure the safe navigation of USVs (unmanned surface vessels) and real-time collision avoidance, this study conducts global and local path planning for USVs in a variable dynamic environment, while local path planning is proposed under the ...
Shunan Hu +3 more
doaj +1 more source
Quality-Oriented Hybrid Path Planning Based on A* and Q-Learning for Unmanned Aerial Vehicle
Unmanned aerial vehicles (UAVs) are playing an increasingly important role in people’s daily lives due to their low cost of operation, low requirements for ground support, high maneuverability, high environmental adaptability, and high safety. Yet
Dongcheng Li +4 more
doaj +1 more source

