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Acute kidney injury in immunocompromised patients with acute respiratory failure: insights from the HIGH clinical trial and relation with mechanical ventilation. [PDF]
Ann Intensive CareJoseph A +13 more
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Critical Care Ultrasonography for Cardiogenic Shock: A Scoping Review. [PDF]
Crit Care ExplorSharif S +7 more
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Acute-on-chronic liver failure and immune dysregulation: Systemic inflammation and immunoparesis paradox. [PDF]
Hepatol CommunDrago AA +6 more
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Relationship of intraoperative hypotension with major adverse cardiovascular events and acute kidney injury after pancreaticoduodenectomy. [PDF]
Front Med (Lausanne)Yu F +7 more
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MK-RRT*: Multi-Robot Kinodynamic RRT Trajectory Planning
2021 International Conference on Unmanned Aircraft Systems (ICUAS), 2021This paper introduces MK-RRT*: a Multi-robot Kinodynamic RRT*-based framework for trajectory planning of multiple dynamically-modeled robots. The framework includes both tightly-coupled and loosely-coupled methods for planning. The simultaneous, tightly-coupled, method provides an asymptotically optimal solution to the multi-robot trajectory planning ...
Brennan Cain +2 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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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.
null Junghwan Lee +3 more
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