Results 31 to 40 of about 6,057,998 (306)
Robot path planning based on artificial potential field with deterministic annealing.
ISA transactions, 2023 In the context of motion planning in robotics, the problem of path planning based on artificial potential fields has been examined using different algorithms to avoid trapping in local minima. With this objective, this paper proposes a novel method based
Zhengtian Wu +3 more
semanticscholar +1 more source
Path Planning for Autonomous Mobile Robots: A Review
Italian National Conference on Sensors, 2021 Providing mobile robots with autonomous capabilities is advantageous. It allows one to dispense with the intervention of human operators, which may prove beneficial in economic and safety terms.
J. Sánchez-Ibáñez +2 more
semanticscholar +1 more source
Path Planning Technique for Mobile Robots: A Review
Machines, 2023 Mobile robot path planning involves designing optimal routes from starting points to destinations within specific environmental conditions. Even though there are well-established autonomous navigation solutions, it is worth noting that comprehensive ...
Liwei Yang +7 more
semanticscholar +1 more source
Multi UAV Coverage Path Planning in Urban Environments
Sensors, 2021 Coverage path planning (CPP) is a field of study which objective is to find a path that covers every point of a certain area of interest. Recently, the use of Unmanned Aerial Vehicles (UAVs) has become more proficient in various applications such as ...
Javier Muñoz +5 more
doaj +1 more source
CoRR, 2019 Path planning is a fundamental and extensively explored problem in robotic control. We present a novel economic perspective on path planning. Specifically, we investigate strategic interactions among path planning agents using a game theoretic path planning framework.
Yi Li, Yevgeniy Vorobeychik
openaire +2 more sources
Bio-Inspired Optimization-Based Path Planning Algorithms in Unmanned Aerial Vehicles: A Survey
Italian National Conference on Sensors, 2023 Advancements in electronics and software have enabled the rapid development of unmanned aerial vehicles (UAVs) and UAV-assisted applications. Although the mobility of UAVs allows for flexible deployment of networks, it introduces challenges regarding ...
Sabitri Poudel +2 more
semanticscholar +1 more source
Applied Soft Computing, 2021 In this paper, a new strategy is developed to plan the smooth path for mobile robots through an improved PSO algorithm in combination with the continuous high-degree Bezier curve.
Baoye Song, Zidong Wang, Lei Zou
semanticscholar +1 more source
Quality-Oriented Hybrid Path Planning Based on A* and Q-Learning for Unmanned Aerial Vehicle
IEEE Access, 2022 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
Global Path Planning of Unmanned Surface Vehicle Based on Improved A-Star Algorithm
Italian National Conference on Sensors, 2023 To make unmanned surface vehicles that are better applied to the field of environmental monitoring in inland rivers, reservoirs, or coasts, we propose a global path-planning algorithm based on the improved A-star algorithm. The path search is carried out
Huixia Zhang, Yadong Tao, Wenliang Zhu
semanticscholar +1 more source
Particle Swarm Algorithm Path-Planning Method for Mobile Robots Based on Artificial Potential Fields
Italian National Conference on Sensors, 2023 Path planning is an important part of the navigation control system of mobile robots since it plays a decisive role in whether mobile robots can realize autonomy and intelligence.
Li Zheng +4 more
semanticscholar +1 more source