Results 11 to 20 of about 62,455 (296)
Fast-RRT: A RRT-Based Optimal Path Finding Method [PDF]
Applied Sciences (Switzerland), 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.
Zhe Wu, Zhijun Meng, Wenlong Zhao
exaly +6 more sources
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
doaj +4 more sources
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 high-dimensional problems. With motion planning becoming more computationally demanding, we turn to parallel motion planning for efficient solutions.
Shawna Thomas +5 more
core +3 more sources
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)
Frazzoli, Emilio +5 more
core +5 more sources
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.
Dang, Xuzhe +2 more
core +2 more sources
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*
Nabuasa, Yelly Y +2 more
core +3 more sources
Frontiers in Plant ScienceEfficient obstacle-avoidance path planning is critical for orchards with numerous irregular obstacles. This paper presents a continuous bidirectional Quick-RRT* (CBQ-RRT*) algorithm based on the bidirectional RRT (Bi-RRT) and Quick-RRT* algorithms and ...
Lei Ye, Jin Li, Pu Li
doaj +2 more sources
PROTAMP-RRT: A Probabilistic Integrated Task and Motion Planner based on RRT [PDF]
IEEE Robotics and Automation Letters, 2023 Solving complex robot manipulation tasks requires a Task and Motion Planner (TAMP) that searches for a sequence of symbolic actions, i.e. a task plan, and also computes collision-free motion paths.
Monica R., Aleotti J., Saccuti A.
core +3 more sources
Path planning for manipulators based on the planar constraint RRT* algorithm [PDF]
Scientific ReportsPath planning is crucial for automatic measurement to ensure a collision-free process for manipulators. However, the more complex the measurement environment, the more complex the path planning scheme is often required in order to meet the above ...
Minyue Li +4 more
doaj +2 more sources
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 +2 more sources