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Massively parallelizing the RRT and the RRT* [PDF]

open access: yes2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
In recent years, the growth of the computational power available in the Central Processing Units (CPUs) of consumer computers has tapered significantly. At the same time, growth in the computational power available in the Graphics Processing Units (GPUs)
Bialkowski, Joshua John   +2 more
core   +5 more sources

Prognostic significance of early acute kidney injury in COVID-19 patients requiring mechanical ventilation: a single-center retrospective analysis

open access: yesRenal Failure, 2023
Acute kidney injury (AKI) is associated with impaired outcomes in critically ill COVID-19 patients. However, the prognostic significance of early AKI is poorly described. We aimed to determine whether AKI on admission to the intensive care unit (ICU) and
Michal Sitina   +3 more
doaj   +1 more source

The Association Between Laboratory Biomarkers and Clinical Features in COVID-19 Pneumonia: A Potential Tool for Predicting Disease Prognosis and Severity [PDF]

open access: yesResearch in Molecular Medicine, 2023
Background: The COVID-19 pandemic has rapidly spread and remained poorly understood by clinicians. The present work aimed to study the association between laboratory biomarkers, prognosis, and disease severity.
Hossein Jalali   +4 more
doaj  

External quality assessment of COVID-19 real time reverse transcription PCR laboratories in India.

open access: yesPLoS ONE, 2022
Sudden emergence and rapid spread of COVID-19 created an inevitable need for expansion of the COVID-19 laboratory testing network across the world. The strategy to test-track-treat was advocated for quick detection and containment of the disease.
Harmanmeet Kaur   +16 more
doaj   +1 more source

RRT*-SMART: A Rapid Convergence Implementation of RRT* [PDF]

open access: yesInternational Journal of Advanced Robotic Systems, 2013
Many sampling based algorithms have been introduced recently. Among them Rapidly Exploring Random Tree (RRT) is one of the quickest and the most efficient obstacle free path finding algorithm. Although it ensures probabilistic completeness, it cannot guarantee finding the most optimal path.
Nasir, Jauwairia   +6 more
openaire   +3 more sources

Fast-RRT: A RRT-Based Optimal Path Finding Method [PDF]

open access: yesApplied Sciences, 2021
As a sampling-based pathfinding algorithm, Rapidly Exploring Random Trees (RRT) has been widely used in motion planning problems due to the ability to find a feasible path quickly. However, the RRT algorithm still has several shortcomings, such as the large variance in the search time, poor performance in narrow channel scenarios, and being far from ...
Zhenping Wu   +3 more
openaire   +2 more sources

Blind RRT: A probabilistically complete distributed RRT [PDF]

open access: yes2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Rapidly-Exploring Random Trees (RRTs) have been successful at finding feasible solutions for many types of problems. With motion planning becoming more computationally demanding, we turn to parallel motion planning for efficient solutions. Existing work on distributed RRTs has been limited by the overhead that global communication requires.
Cesar Rodriguez   +4 more
openaire   +1 more source

Studi Performansi Algoritma Perencanaan Jalur diantara PRM, RRT, RRT* dan Informed-RRT

open access: yesTelekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan, 2020
This paper will discuss a comparative performance review of several path planning algorithms. This study compares five well-known path planning algorithms, namely the Probabilistic Roadmap (PRM), Rapidly-exploring Random Tree (RRT), RRT* and Informed-RRT* algorithm. Testing is done through simulation based experiments using python.
Rumlaklak, Nelci Dessy   +2 more
openaire   +2 more sources

Asymptotically near-optimal RRT for fast, high-quality, motion planning [PDF]

open access: yes, 2015
We present Lower Bound Tree-RRT (LBT-RRT), a single-query sampling-based algorithm that is asymptotically near-optimal. Namely, the solution extracted from LBT-RRT converges to a solution that is within an approximation factor of 1+epsilon of the optimal
Halperin, Dan, Salzman, Oren
core   +1 more source

A small-scale study on airborne transmission of H9N2 avian influenza virus under field conditions

open access: yesJournal of Infection in Developing Countries, 2018
Introduction: H9N2 avian influenza viruses (AIV) can transmit in chicken flocks through direct contact and aerosols. Nevertheless, data on airborne transmission of AIV is very limited, especially under field conditions. To fill this literature gap, this
Song Li   +4 more
doaj   +1 more source

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