Results 11 to 20 of about 6,847,583 (383)

Path Planning for Autonomous Mobile Robots: A Review

open access: yesItalian 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. R. Sánchez-Ibáñez   +2 more
semanticscholar   +1 more source

Fast Path Planning of Autonomous Vehicles in 3D Environments

open access: yesApplied Sciences, 2022
Three dimensional path planner is crucial for the safe navigation of autonomous vehicles (AV), such as unmanned aerial vehicles or unmanned underwater vehicles, which operate in three dimensions.
Jonghoek Kim
doaj   +1 more source

Bio-Inspired Optimization-Based Path Planning Algorithms in Unmanned Aerial Vehicles: A Survey

open access: yesItalian 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

Path Planning Technique for Mobile Robots: A Review

open access: yesMachines, 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

Global Path Planning of Unmanned Surface Vehicle Based on Improved A-Star Algorithm

open access: yesItalian 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

Multi UAV Coverage Path Planning in Urban Environments

open access: yesSensors, 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

Computationally-efficient path planning algorithms in obstacle-rich environments based on visibility graph method [PDF]

open access: yes, 2018
Path planning purpose is to find a collision-free path in a defined environment from a starting point to a target point. It is one of the vital aspects in enhancing an autonomy of a robot.
Fredie Robinson   +2 more
core   +2 more sources

Hierarchical Path Search with Partial Materialization of Costs for a Smart Wheelchair [PDF]

open access: yes, 2004
In this paper, the off-line path planner module of a smart wheelchair aided navigation system is described. Environmental information is structured into a hierarchical graph (H-graph) and used either by the user interface or the path planner module ...
Abascal, Julio, Cagigas Muñiz, Daniel
core   +1 more source

Obstacle-avoidance path planning based on the improved artificial potential field for a 5 degrees of freedom bending robot [PDF]

open access: yesMechanical Sciences, 2023
Path planning is a key technique used in the operation of bending robots. In this paper, an obstacle-avoidance path-planning method of a 5 degrees of freedom (5 DOF) bending robot based on improved artificial potential field is proposed.
Q. Jiang, K. Cai, F. Xu
doaj   +1 more source

Deceptive Path-Planning [PDF]

open access: yesProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Deceptive path-planning involves finding a path such that the probability of an observer identifying the path's final destination - before it has been reached - is minimised. This paper formalises deception as it applies to path-planning and introduces the notion of a last deceptive point (LDP) which, when measured in terms of 'path completion', can be
Peta Masters, Sebastian Sardina
openaire   +1 more source

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