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Diagnostic performance of the Dengue NS1 Ag Rapid Test during early-stage infections at epidemic-affected health care facilities in northeastern and eastern Ethiopia. [PDF]
IJID RegSisay C, Worku N, Awoke T, Alemu K.
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Cognitive impairment and depressive symptoms to predict renal outcome and mortality in older adult patients. [PDF]
PLoS OnePeun B +4 more
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Mortality and prognostic factors in infective endocarditis: A Colombian multicenter cohort. [PDF]
IJID RegZuluaga Monroy JD +7 more
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Evaluation of Flu A/B, SARS-CoV-2, and RSV Antigen Combo Rapid Test in Hospitalized Children Under Two Years of Age. [PDF]
Diagnostics (Basel)Mulugeta B +7 more
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Epidemiology of chronic dialysis treatment among children and adolescents in a capital of Northeastern Brazil. [PDF]
J Bras NefrolMedeiros IS +4 more
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Proceedings of the International Symposium on Combinatorial Search, 2022
Sampling-based motion planning algorithms such as Rapidly exploring Random Trees (RRTs) have been used in robotic applications for a long time. In this paper, we propose a method that combines deep learning with RRT* method. We use a neural network to learn a sample strategy for RRT*.We evaluate Deep RRT* in a collection of 2D scenarios.
Xuzhe Dang +2 more
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Sampling-based motion planning algorithms such as Rapidly exploring Random Trees (RRTs) have been used in robotic applications for a long time. In this paper, we propose a method that combines deep learning with RRT* method. We use a neural network to learn a sample strategy for RRT*.We evaluate Deep RRT* in a collection of 2D scenarios.
Xuzhe Dang +2 more
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FC-RRT*: A modified RRT* with rapid convergence in complex environments
Journal of Computational ScienceYankui Song, Chengguo Liu, Yaoyao Tuo
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Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., 2006
We present a replanning algorithm for repairing rapidly-exploring random trees when changes are made to the configuration space. Instead of abandoning the current RRT, our algorithm efficiently removes just the newly-invalid parts and maintains the rest. It then grows the resulting tree until a new solution is found.
Dave Ferguson 0001 +2 more
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We present a replanning algorithm for repairing rapidly-exploring random trees when changes are made to the configuration space. Instead of abandoning the current RRT, our algorithm efficiently removes just the newly-invalid parts and maintains the rest. It then grows the resulting tree until a new solution is found.
Dave Ferguson 0001 +2 more
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SR-RRT: Selective retraction-based RRT planner
2012 IEEE International Conference on Robotics and Automation, 2012We present a novel retraction-based planner, selective retraction-based RRT, for efficiently handling a wide variety of environments that have different characteristics. We first present a bridge line-test that can identify regions around narrow passages, and then perform an optimization-based retraction operation selectively only at those regions.
Junghwan Lee +3 more
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