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检索条件"主题词=complete coverage problem"
4 条 记 录,以下是1-10 订阅
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complete coverage problem of multiple robots with different velocities
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INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 2022年 第2期19卷
作者: Li, Lin Shi, Dianxi Jin, Songchang Kang, Ying Xue, Chao Zhou, Xing Liu, Hengzhu Yu, XiaoXiao Natl Univ Def Technol Coll Comp Changsha Hunan Peoples R China Def Innovat Inst Artificial Intelligence Res Ctr AIRC Beijing Peoples R China Tianjin Artificial Intelligence Innovat Ctr TAIIC Tianjin Peoples R China Peoples Liberat Army Changchun Peoples R China Natl Univ Def Technol Coll Intelligence Sci & Technol Changsha Hunan Peoples R China
complete coverage, which is integral to many robotic applications, aims to cover an area as quickly as possible. In such tasks, employing multiple robots can reduce the overall coverage time by appropriate task alloca... 详细信息
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Optimizing and predicting swarming collective motion performance for coverage problems solving: A simulation-optimization approach
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2025年 139卷
作者: Ghanem, Reda Ali, Ismail M. Abpeikar, Shadi Kasmarik, Kathryn Garratt, Matthew Univ New South Wales Sch Syst & Comp Canberra Australia Benha Univ Fac Sci Dept Math Banha Egypt Univ New South Wales Sch Engn & Technol Canberra Australia
Algorithms using swarming collective motion can solve coverage problems in unknown environments by reacting to unknown obstacles in real-time when they are encountered. However, these algorithms face two key challenge... 详细信息
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Finding efficient robot path for the complete coverage of a known space
Finding efficient robot path for the complete coverage of a ...
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IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Yao, Zhiyang Chinese Univ Hong Kong Dept Automat & Comp Aided Engn Hong Kong Hong Kong Peoples R China
In robot planning problems, the complete coverage path planning refers to the problem of determining a path that a robot must take in order to pass over each point in an environment and avoid obstacles. Applications i... 详细信息
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SP2E: Online Spiral coverage with Proactive Prevention Extremum for Unknown Environments
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JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 2023年 第2期108卷 30-30页
作者: Li, Lin Shi, Dianxi Jin, Songchang Yang, Shaowu Lian, Yaoning Liu, Hengzhu Natl Univ Def Technol Coll Comp Changsha 410003 Peoples R China Tianjin Artificial Intelligence Innovat Ctr TAIIC Tianjin 300456 Peoples R China Def Innovat Inst Artificial Intelligence Res Ctr AIRC Beijing 100073 Peoples R China
coverage path planning (CPP) is the foundation of multiple robotic applications. The efficiency of CPP is affected by the local extremum, which describes a situation with the robot surrounded by obstacles and explored... 详细信息
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