Results 21 to 30 of about 6,057,998 (306)

Exact and Heuristic Multi-Robot Dubins Coverage Path Planning for Known Environments

open access: yesSensors, 2023
Coverage path planning (CPP) of multiple Dubins robots has been extensively applied in aerial monitoring, marine exploration, and search and rescue. Existing multi-robot coverage path planning (MCPP) research use exact or heuristic algorithms to address ...
Lin Li   +6 more
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 Sardiña
openaire   +1 more source

Cost of illness for childhood diarrhea in low- and middle-income countries: a systematic review of evidence and modelled estimates

open access: yesBMC Public Health, 2020
Background Numerous studies have reported the economic burden of childhood diarrhea in low- and middle-income countries (LMICs). Yet, empirical data on the cost of diarrheal illness is sparse, particularly in LMICs.
Ranju Baral   +5 more
doaj   +1 more source

Review of Autonomous Path Planning Algorithms for Mobile Robots

open access: yesDrones, 2023
Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles, play an increasingly important role in people’s work and lives.
Hongwei Qin   +5 more
semanticscholar   +1 more source

Hexagon path planning algorithm

open access: yesIET Radar, Sonar & Navigation, 2022
The paper presents a novel 2D geometrical path plan algorithm that reduces calculation load and time by filtering obstacles before path planning starts by the newly introduced hexagon filter and also while path search is in progress. Unlike other methods
Hany Mohamed Elsayed Ibrahim Mohamed Arnaoot
doaj   +1 more source

Path Tracking in Motion Planning [PDF]

open access: yesThe Computer Journal, 1993
Summary: The inverse kinematics problem asks to determine the configurations of a robot manipulator that places the tip of the robot in a given position and orientation. The generalization of this problem, called path tracking or path following, is to determine if there exists a path of a manipulator in which the tip follows a given path.
M. J. González-López, Tomás Recio
openaire   +2 more sources

Path Planning for Autonomous Drones: Challenges and Future Directions

open access: yesDrones, 2023
Unmanned aerial vehicles (UAV), or drones, have gained a lot of popularity over the last decade. The use of autonomous drones appears to be a viable and low-cost solution to problems in many applications.
Gopi Gugan, A. Haque
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

Path planning with hallucinated worlds [PDF]

open access: yes2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2005
We describe an approach that integrate midrange sensing into a dynamic path planning algorithm1. The algorithm is based on measuring the reduction in path cost that would be caused by taking a sensor reading from candidate locations. The planner uses this measure in order to decide where to take the next sensor reading.
Bart C. Nabbe   +2 more
openaire   +1 more source

Geometric A-Star Algorithm: An Improved A-Star Algorithm for AGV Path Planning in a Port Environment

open access: yesIEEE Access, 2021
This research introduces a path planning method based on the geometric A-star algorithm. The whole approach is applied to an Automated Guided Vehicle (AGV) in order to avoid the problems of many nodes, long-distance and large turning angle, and these ...
G. Tang   +4 more
semanticscholar   +1 more source

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