Results 11 to 20 of about 29,044 (285)

Energy-Aware Coverage Path Planning of UAVs [PDF]

2015 IEEE International Conference on Autonomous Robot Systems and Competitions, 2015
Coverage path planning is the operation of finding a path that covers all the points of a specific area. Thanks to the recent advances of hardware technology, Unmanned Aerial Vehicles (UAVs) are starting to be used for photogrammetric sensing of large areas in several application domains, such as agriculture, rescuing, and surveillance.
Carmelo Di Franco, Giorgio C. Buttazzo
openaire   +2 more sources

Optimal Coverage Path Planning for Agricultural Vehicles with Curvature Constraints

Agriculture, 2023
Complete coverage path planning (CCPP) is vital in mobile robot applications. Optimizing CCPP is particularly significant in precision agriculture, where it enhances resource utilization, reduces soil compaction, and boosts crop yields.
Maria Höffmann, Shruti Patel, Christof Büskens   +2 more
doaj   +2 more sources

Cellular Coverage-Aware Path Planning for UAVs [PDF]

2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019
Up until now, path planning for unmanned aerial vehicles (UAVs) has mainly been focused on the optimisation towards energy efficiency. However, to operate UAVs safely, wireless coverage is of utmost importance. Currently, deployed cellular networks often exhibit an inadequate performance for aerial users due to high amounts of intercell interference ...
De Bast, Sibren, Vinogradov, Evgenii, Pollin, Sofie   +2 more
openaire   +4 more sources

Robot Coverage Path Planning under Uncertainty Using Knowledge Inference and Hedge Algebras

Machines, 2018
Human behaviour demonstrates environmental awareness and self-awareness which is used to arrive at decisions and actions or reach conclusions based on reasoning and inference. Environmental awareness and self-awareness are traits which autonomous robotic
Hai Van Pham, Philip Moore
doaj   +2 more sources

Complete-Coverage Path-Planning Algorithm Based on Transition Probability and Learning Perturbation Operator [PDF]

Sensors
To achieve shorter path length and lower repetition rate for robotic complete coverage path planning, a complete-coverage path-planning algorithm based on transition probability and learning perturbation operator (CCPP-TPLP) is proposed.
Xia Wang, Gongshuo Han, Jianing Tang, Zhongbin Dai   +3 more
doaj   +2 more sources

Optimizing Coverage Performance of Multiple Random Path-planning Robots

Paladyn, 2012
This paper presents a new approach to the multi-agent coverage path-planning problem. An efficient multi-robot coverage algorithm yields a coverage path for each robot, such that the union of all paths generates an almost full coverage of the terrain and
Habib Md Ahsan, Alam M.S., Siddique N.H.
doaj   +2 more sources

Improved genetic algorithm based on bi-level co-evolution for coverage path planning in irregular region [PDF]

Scientific Reports
Irregular region coverage path planning has been widely applied in robot search tasks and has attracted a lot of attention. This study proposes an improved genetic algorithm based on bi-level co-evolution for coverage path planning (IGA–CPP) in irregular
Guanzhong Chen, Yufeng Du, Xiaoming Xi, Kai Zhang, Jichong Yang, Longsheng Xu, Chunxiao Ren   +6 more
doaj   +2 more sources

UAV-Based Coverage Path Planning for Unmanned Agricultural Vehicles [PDF]

Sensors
Accurate path planning was the prerequisite for autonomous navigation of agricultural vehicles. An Unmanned Aerial Vehicle (UAV)-based coverage path planning was developed in this research for automating guidance of agricultural vehicles and reducing the
Guangjie Xue, Engen Zhang, Guangshun An, Juan Du, Xiang Yin, Peng Zhou, Xuening Zhang   +6 more
doaj   +2 more sources

An energy aware Q-learning framework for comprehensive coverage path planning in unknown complex environments [PDF]

Scientific Reports
In post-disaster search and rescue scenarios, robotic path planning must operate in unpredictable, dynamic environments where conventional coverage path planning (CPP) algorithms often struggle to adapt.
Yao Xue, Chee Keong Tan, Wai Peng Wong
doaj   +2 more sources

Hybrid golden Jackal and moth flame optimization algorithm based coverage path planning in heterogeneous UAV networks [PDF]

Scientific Reports
Coverage Path Planning is an important strategy used mainly in junction with the unmanned aerial vehicles (UAVs) such that it can cover the regions of the target with minimized energy consumptions.
K. Karthik, C. Balasubramanian, R. Praveen   +2 more
doaj   +2 more sources