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RRT*-SMART: A Rapid Convergence Implementation of RRT* [PDF]
International 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.
Jauwairia Nasir +6 more
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Fast-RRT: A RRT-Based Optimal Path Finding Method [PDF]
Applied 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.
Zhenping Wu +3 more
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Massively parallelizing the RRT and the RRT [PDF]
2011 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) has remained strong.
Karaman, Sertac +2 more
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Blind RRT: A probabilistically complete distributed RRT [PDF]
2013 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
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Integrated Motion Planning for Assembly Task with Part Manipulation Using Re-Grasping
Applied Sciences, 2020 This paper presents an integrated planner based on rapidly exploring random tree (RRT) for an assembly task with possible re-grasping. Given multiple grasp poses for the part to assemble, the planner chooses candidate grasp poses considering the ...
Ahmad Ali, Ji Yeong Lee
doaj +1 more source
Studi Performansi Algoritma Perencanaan Jalur diantara PRM, RRT, RRT* dan Informed-RRT
Telekontran : 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
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Fluid therapy and hemodynamic support in septic shock
Journal of Pediatric Critical Care, 2018 Sepsis remains one of the leading causes of mortality in children all over the world, especially in the developing nations. Early recognition of sepsis and septic shock facilitate the resuscitation, further reducing the morbidity and mortality related to
Milind Jambagi, Rakshay Shetty
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Вестник СибАДИ, 2018 The problem of planning the motion path of an unmanned vehicle is presented in the article. The results of development and the software implementation, and the research of the algorithm for constructing quasi- optimal trajectory of an unmanned vehicle ...
I. Z. Akhmetzyanov +2 more
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Prevention of acute renal injury and drug modification
Journal of Pediatric Critical Care, 2018 Acute kidney injury (AKI) causes increased morbidity in critically ill children and damage to the kidney affects survival. The incidence of AKI in pediatrics is significant and despite alarming data, therapeutic interventions have failed to effect a ...
Amita Kaul, Sachin Shah
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Informed RRT*-Connect: An Asymptotically Optimal Single-Query Path Planning Method
IEEE Access, 2020 Rapidly-exploring Random Trees (RRTs) are successful in single-query motion planning problems. The standard version of RRT grows a tree from a start location and stops once it reached the goal configuration.
Reza Mashayekhi +4 more
doaj +1 more source