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检索条件"主题词=Rapidly-exploring Random Tree"
102 条 记 录,以下是51-60 订阅
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Scene Context-aware rapidly-exploring random trees for Global Path Planning
Scene Context-aware Rapidly-exploring Random Trees for Globa...
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IEEE International Conference on Pervasive Computing and Communications (PerCom)
作者: Hirakawa, Tsubasa Yamashita, Takayoshi Fujiyoshi, Hironobu Chubu Univ Kasugai Aichi Japan
This paper introduces a global path planning method for autonomous systems. Global path planning finds a feasible and collision-free path in an environment in which various kinds of regions and objects exist. However,... 详细信息
来源: 评论
LCFP-RRT: A Robot Exploration Algorithm Based on Local Constrained Sampling and Frontier Prioritization Classification  11th
LCFP-RRT: A Robot Exploration Algorithm Based on Local Const...
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11th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2024
作者: Zhang, Hao Lyu, Guangqiang Xie, Yanjing Dong, Fangyan Chen, Kewei Faculty of Mechanical Engineering and Mechanics Ningbo University Ningbo315211 China Zhejiang University Ningbo Institute of Technology Ningbo315000 China Ningbo Guangqiang Robot Technology Co. Ltd. Ningbo315100 China
In order to improve the robot’s exploration efficiency of the unknown environment, this paper proposes a robot autonomous exploration algorithm based on local restricted sampling and frontier priority classification,... 详细信息
来源: 评论
Adaptive Caging Configuration Design Algorithm of Hyper-Redundant Manipulator for Dysfunctional Satellite Pre-Capture
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IEEE ACCESS 2020年 8卷 22546-22559页
作者: Wan, Wenya Sun, Chong Yuan, Jianping Northwestern Polytech Univ Natl Key Lab Aerosp Flight Dynam Xian 710072 Peoples R China
This paper presents an adaptive caging configuration design algorithm of the hyper-redundant manipulator for dysfunctional satellite pre-capture. Taking advantages of the extreme flexibility and hyper-redundancy, the ... 详细信息
来源: 评论
Control Framework for Trajectory Planning of Soft Manipulator Using Optimized RRT Algorithm
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IEEE ACCESS 2020年 8卷 171730-171743页
作者: Khan, Ameer Tamoor Li, Shuai Kadry, Seifedine Nam, Yunyoung Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China Beirut Arab Univ Fac Sci Dept Math & Comp Sci Beirut 11072809 Lebanon Soonchunhyang Univ Dept Comp Sci & Engn Asan 31538 South Korea
This paper proposes a model-free control framework for the path planning of the rigid and soft robotic manipulator using an intelligent algorithm called Weighted Jacobian rapidly-exploring random tree (WJRRT). The opt... 详细信息
来源: 评论
Searching Multiple Approximate Solutions in Configuration Space to Guide Sampling-Based Motion Planning
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JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 2020年 第3-4期100卷 1527-1543页
作者: Vonasek, Vojtech Penicka, Robert Kozlikova, Barbora Czech Tech Univ Fac Elect Engn Tech 2 Prague 16627 Czech Republic Masaryk Univ Fac Informat Bot 68a Brno 60200 Czech Republic
High-dimensional configuration space is usually searched using sampling-based motion planning methods. The well-known issue of sampling-based planners is the narrow passage problem caused by small regions of the confi... 详细信息
来源: 评论
Obstacle Avoidance and Path Planning for Multi-Joint Manipulator in a Space Robot
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IEEE ACCESS 2020年 8卷 3511-3526页
作者: Xie, Yaen Zhang, Zhidan Wu, Xiande Shi, Zhen Chen, Yangyang Wu, Baixuan Mantey, Kofi Akrofi Harbin Engn Univ Coll Automat Harbin 150001 Peoples R China Harbin Engn Univ Coll Aerosp & Civil Engn Harbin 150001 Peoples R China Beijing Inst Elect Syst Engn Beijing 100854 Peoples R China
An obstacle avoidance and path planning algorithm for a multi-joint manipulator in a space robot is presented in this paper. In this paper, the end-effector of the manipulator is used to capture some special target in... 详细信息
来源: 评论
Reinforcement Learning Aided Robot-Assisted Navigation: A Utility and RRT Two-Stage Approach
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INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS 2020年 第3期12卷 689-707页
作者: Garrote, Luis Paulo, Joao Nunes, Urbano J. Univ Coimbra Dept Elect & Comp Engn Inst Syst & Robot Coimbra Portugal
This work proposes a robot-assisted navigation approach based on user intent adjustment, in the context of robotic walkers. Walkers are prescribed to users with gait disorders so that they can support their body weigh... 详细信息
来源: 评论
Path planning for indoor Mobile robot based on deep learning
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OPTIK 2020年 219卷 165096-165096页
作者: Zhang, Lin Zhang, Yingjie Li, Yangfan Xi An Jiao Tong Univ Sch Mech Engn Xian Peoples R China
This paper aims to give an optimal path planning of a mobile robot in a known indoor environment. An algorithm based on deep learning, ray tracing algorithm, waiting rule, and rapidly-exploring random tree is proposed... 详细信息
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Online planning for relative optimal and safe paths for USVs using a dual sampling domain reduction-based RRT* method
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INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 2020年 第12期11卷 2665-2687页
作者: Wen, Naifeng Zhang, Rubo Wu, Junwei Liu, Guanqun Dalian Minzu Univ Sch Electromech Engn Dalian Peoples R China
A heuristic Dual sampling domain Reduction-based Optimal rapidly-exploring random tree scheme is proposed by guiding the planning procedure of the optimal rapidly-exploring random tree (RRT*) method through learning e... 详细信息
来源: 评论
A local trajectory planning and control method for autonomous vehicles based on the RRT algorithm
A local trajectory planning and control method for autonomou...
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AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)
作者: Feraco, Stefano Luciani, Sara Bonfitto, Angelo Amati, Nicola Tonoli, Andrea Politecn Torino Dept OfMech & Aerosp Engn Turin Italy
This paper presents a local trajectory planning and control method based on the rapidly-exploring random tree algorithm for autonomous racing vehicles. The paper aims to provide an algorithm allowing to compute the pl... 详细信息
来源: 评论