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Xiaoyu Sun - IEEE Xplore Author Profile

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Author details

Xiaoyu Sun

Publications

3

Citations

2

Publications by Year

20202023

Co-Authors:

Feng ChenZhengkun ChengJian JiaoWenchao KongShengquan Li

Show All Co-Authors (12)

Xiaoyu Sun

Affiliation

Peng Cheng Laboratory, Shenzhen, China

Publication Topics

Acoustic Communication,
Orbital Angular Momentum,
Orbital Angular Momentum Modes,
Simulation Results,
Acoustic Beam,
Acoustic Waves,
Additional Degrees Of Freedom,
Angle Error,
Approximate Location,
Azimuth Angle,
Beam Theory,
Bessel Function

Biography

Xiaoyu Sun received the Ph.D. degree in engineering mechanics from Tsinghua University, Beijing, China, in 2013.,He is currently a Research Assistant Professor with the Robot Research Center, Peng Cheng Laboratory, Shenzhen, China. His research interests include autonomous underwater vehicle and underwater communication.(Based on document published on 23 June 2022).

Publications

3

Citations

2

Publications by Year

20202023

Co-Authors:

Feng Chen
Zhengkun Cheng
Jian Jiao
Wenchao Kong
Shengquan Li

Show All Co-Authors (12)

Author's Published Works

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Showing 1-25 of 10,350 resultsfor "Index Terms":Coverage Path

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An Effective Method for Complete Visual Coverage Path Planning

Jie Li;Changwen Zheng;Xiaohui Hu

2010 Third International Joint Conference on Computational Science and Optimization

Year: 2010 | Conference Paper |

Cited by: Papers (3)

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This paper addresses the complete visual coverage path planning problem in raster terrain and presents an effective solution with hierarchy based on multiple observers siting and an evolutionary path planning algorithm. The main idea of the method is to get a nearly optimal complete visual coverage path by connecting all of the observers in the visual coverage set. Firstly a new deterministic algo...Show More

An Effective Method for Complete Visual Coverage Path Planning

Jie Li;Changwen Zheng;Xiaohui Hu

2010 Third International Joint Conference on Computational Science and Optimization

Year: 2010 | Volume: 1 | Conference Paper |

Optimal Multi-Agent Map Coverage Path Planning Algorithm

Yangxing Zheng;Xiaowei Tu;Qinghua Yang

2020 Chinese Automation Congress (CAC)

Year: 2020 | Conference Paper |

Cited by: Papers (2)

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Multi-agent path planning is one of the important research directions of multi-agent cooperative control, among which multi-agent covering path planning (mCPP) is a hot topic at present. Nowadays, many researchers have put forward relevant algorithms, but in some specific cases, problems such as low success rate of planning and low computational efficiency have appeared. In this paper, a hybrid al...Show More

Optimal Multi-Agent Map Coverage Path Planning Algorithm

Yangxing Zheng;Xiaowei Tu;Qinghua Yang

2020 Chinese Automation Congress (CAC)

Year: 2020 | Conference Paper |

Near-Optimal Coverage Path Planning of Distributed Regions for Aerial Robots with Energy Constraint

Zeba Khanam;Klaus McDonald-Maier;Shoaib Ehsan

2021 International Conference on Unmanned Aircraft Systems (ICUAS)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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Unmanned Aircraft Vehicles (UAVs) have gained immense popularity for area coverage having applications such as environmental monitoring, demining, search and rescue, among others. Most of the existing studies exploring area coverage have considered only a single region, however, few recent studies have considered coverage of multiple distributed regions. One of the limitations which UAV suffers wh...Show More

Near-Optimal Coverage Path Planning of Distributed Regions for Aerial Robots with Energy Constraint

Zeba Khanam;Klaus McDonald-Maier;Shoaib Ehsan

2021 International Conference on Unmanned Aircraft Systems (ICUAS)

Year: 2021 | Conference Paper |

Complete Coverage Path Planning for Intelligent Sweeping Robot

Bing Luo;Yueqin Huang;Fuqin Deng;Weike Li;Yong Yan

2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)

Year: 2021 | Conference Paper |

Cited by: Papers (6)

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As a universal optimization problem in automatic control, complete coverage path planning is one of the useful functions for intelligent sweeping robot, which makes sweeping robot complete sweeping more quickly and efficiently. Though conventional unit decomposition method has got solution, excessive decomposition for complex concave polygon environment and ignoring turning degrade the optimizatio...Show More

Complete Coverage Path Planning for Intelligent Sweeping Robot

Bing Luo;Yueqin Huang;Fuqin Deng;Weike Li;Yong Yan

2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)

Year: 2021 | Conference Paper |

Complete coverage path planning algorithm for known 2d environment

Sumit Gajjar;Jaydeep Bhadani;Pramit Dutta;Naveen Rastogi

2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)

Year: 2017 | Conference Paper |

Cited by: Papers (11)

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Path-planning is an important primitive for autonomous mobile robots that lets robots find the optimal path between two points. Typical path-planning algorithms deal with finding an optimized path from start to end using a map of the environment and the robot to be aware of its location with respect to the map. Complete coverage path planning algorithm, on the other hand, is used in application wh...Show More

Complete coverage path planning algorithm for known 2d environment

Sumit Gajjar;Jaydeep Bhadani;Pramit Dutta;Naveen Rastogi

2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)

Year: 2017 | Conference Paper |

A Complete Coverage Path Planning Algorithm for Cleaning Robots Based on the Distance Transform Algorithm and the Rolling Window Approach in Dynamic Environments

Yongzheng Zhou;Rongchuan Sun;Shumei Yu;Yong Sun;Lining Sun

2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)

Year: 2017 | Conference Paper |

Cited by: Papers (5)

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This paper presents an algorithm of complete coverage path planning (CCPP) for cleaning robots in dynamic environments based on the rolling window approach and the distance transform algorithm. Before the coverage task, the robot models the static environment with a global grid map as priori knowledge. In the process of coverage, a rolling window is created, corresponding to which a local grid map...Show More

A Complete Coverage Path Planning Algorithm for Cleaning Robots Based on the Distance Transform Algorithm and the Rolling Window Approach in Dynamic Environments

Yongzheng Zhou;Rongchuan Sun;Shumei Yu;Yong Sun;Lining Sun

2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)

Year: 2017 | Conference Paper |

The coverage problem in UAV network: A survey

Yueyue Chen;Haidong Zhang;Ming Xu

Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

Year: 2014 | Conference Paper |

Cited by: Papers (55)

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UAV has been a popular piece of equipment both in military and civilian applications. Groups of UAVs can form an UAV network and accomplish complicated missions such as rescue, searching, patrolling and mapping. One of the most active areas of research in UAV networks is that of area coverage problem which is usually defined as a problem of how well the UAV networks are able to monitor the given s...Show More

The coverage problem in UAV network: A survey

Yueyue Chen;Haidong Zhang;Ming Xu

Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

Year: 2014 | Conference Paper |

Coverage Path Planning Based on Improved Exact Cellular Decomposition Method in Ocean Survey

Guanzhong Chen;Yue Shen;Xiangyang Duan;Junhe Wan;Tianhong Yan;Bo He

Global Oceans 2020: Singapore – U.S. Gulf Coast

Year: 2020 | Conference Paper |

Cited by: Papers (5)

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In order to improve coverage traversal efficiency of ocean survey for AUV, an improved exact cellular decomposition method is proposed. It combines exact cellular decomposition method and Differential Evolution, which reduce the task execution time and alleviate the problem of energy shortage due to obtaining the optimal cells traversal order. The simulation results verify that the improved exact ...Show More

Coverage Path Planning Based on Improved Exact Cellular Decomposition Method in Ocean Survey

Guanzhong Chen;Yue Shen;Xiangyang Duan;Junhe Wan;Tianhong Yan;Bo He

Global Oceans 2020: Singapore – U.S. Gulf Coast

Year: 2020 | Conference Paper |

Coverage Path Planning for Unmanned Surface Vehicles in Unknown Environments Based on Reinforcement Learning

Rui Song;Zilong Song;Yao Li;Qixing Cheng;Jiazhao Zhang;Dong Qu

2024 IEEE International Conference on Unmanned Systems (ICUS)

Year: 2024 | Conference Paper |

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In marine resource exploration and development, unmanned surface vehicles (USVs) often need to plan a safe and collision-free exploration path. When the environment is unknown, offline planning methods cannot provide an optimal solution; thus, online path planning must be conducted while exploring the environmental map. In this paper, we investigated how reinforcement learning can address this iss...Show More

Coverage Path Planning for Unmanned Surface Vehicles in Unknown Environments Based on Reinforcement Learning

Rui Song;Zilong Song;Yao Li;Qixing Cheng;Jiazhao Zhang;Dong Qu

2024 IEEE International Conference on Unmanned Systems (ICUS)

Year: 2024 | Conference Paper |

A Path Planning Method for Comprehensive Area Coverage Utilizing Neuron Activity

Jiacheng Luo;Hui Shun;Yuchi Hao

2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)

Year: 2023 | Conference Paper |

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Path planning plays a pivotal role in the realm of robotic intelligence. Its primary function is to break down tasks into executable motion instructions for the robot and furnish the necessary guidance for its operations. Consequently, the effectiveness of path planning significantly influences the efficiency of intelligent operations. Path planning methods are confronted with multifaceted task re...Show More

A Path Planning Method for Comprehensive Area Coverage Utilizing Neuron Activity

Jiacheng Luo;Hui Shun;Yuchi Hao

2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)

Year: 2023 | Conference Paper |

Combined coverage path planning for autonomous cleaning robots in unstructured environments

Yu Liu;Xiaoyong Lin;Shiqiang Zhu

2008 7th World Congress on Intelligent Control and Automation

Year: 2008 | Conference Paper |

Cited by: Papers (19)

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Complete coverage path planning is a key problem for autonomous cleaning robots, which concerns not only the cleaning efficiency but also the adaptability to unstructured environments. But the diversity of environments and limited perception ability of the robot make the problem still unsolved. In this paper, a novel strategy of combined coverage path planning is proposed, which combines the rando...Show More

Combined coverage path planning for autonomous cleaning robots in unstructured environments

Yu Liu;Xiaoyong Lin;Shiqiang Zhu

2008 7th World Congress on Intelligent Control and Automation

Year: 2008 | Conference Paper |

A study of sweeping coverage path planning method for deep-sea manganese nodule mining robot

Soung Jea Park;Tae Kyeong Yeu;Suk Min Yoon;Sup Hong;Ki Young Sung

OCEANS'11 MTS/IEEE KONA

Year: 2011 | Conference Paper |

Cited by: Papers (3)

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Development of a mining robot represents the key-technology for commercial mining of manganese nodules from 5,000m deep seafloor. In this paper, we are concerned with the discussion on method of sweeping coverage path planning for the mining robot. The mining robot sweeps a two dimensional area, i.e. sea-floor, by using its collecting device and vehicle. Its path should be planned for maximizing o...Show More

A study of sweeping coverage path planning method for deep-sea manganese nodule mining robot

Soung Jea Park;Tae Kyeong Yeu;Suk Min Yoon;Sup Hong;Ki Young Sung

OCEANS'11 MTS/IEEE KONA

Year: 2011 | Conference Paper |

Unit Circles Decomposition-based Coverage Path Planning for UAV

Qian Hanyu;Li Huang;Xiao Bing

2022 34th Chinese Control and Decision Conference (CCDC)

Year: 2022 | Conference Paper |

Cited by: Papers (2)

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In this paper, a coverage path planning (CPP) scheme for an unmanned aerial vehicle (UAV) in coverage observation is proposed. The algorithms begin by decomposing the task region into several unit circles. The positions of the unit circles are optimized by the improved Particle-Glowworm Swarm Optimization algorithm based on the area size of the unit circle and task region. Then the connection sequ...Show More

Unit Circles Decomposition-based Coverage Path Planning for UAV

Qian Hanyu;Li Huang;Xiao Bing

2022 34th Chinese Control and Decision Conference (CCDC)

Year: 2022 | Conference Paper |

A Two-Stage Coverage Path Planning Compliant with the Kinematic Constraints of USVs

Jiachen Zheng;Baokui Li;Qing Fei;Peizhang Li

2024 China Automation Congress (CAC)

Year: 2024 | Conference Paper |

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The existence of omitted areas is unacceptable in coverage missions such as maritime search and military reconnaissance. Therefore, it is crucial to plan a path that can guarantee the full coverage of the mission area and conform to the kinematic characteristics of Unmanned Surface Vehicles (USVs). To achieve this objective, this paper proposes a two-stage coverage path planning algorithm aimed at...Show More

A Two-Stage Coverage Path Planning Compliant with the Kinematic Constraints of USVs

Jiachen Zheng;Baokui Li;Qing Fei;Peizhang Li

2024 China Automation Congress (CAC)

Year: 2024 | Conference Paper |

Heterogeneous Coverage Path Planning for Multi-Agent Systems with ACO and GA

Mohammad Hasan Jalili Bahabadi;Amir Mahdavi;Saeed Khankalantary

2024 32nd International Conference on Electrical Engineering (ICEE)

Year: 2024 | Conference Paper |

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Coverage path planning (CPP) is a vital task in various fields, including agriculture, robotics, and unmanned aerial vehicles. It involves determining a path that covers all points of a given area while avoiding obstacles and minimizing overlapping. This paper presents a comprehensive approach to CPP that consists of two main phases: formation and coverage. Agents are divided into several groups, ...Show More

Heterogeneous Coverage Path Planning for Multi-Agent Systems with ACO and GA

Mohammad Hasan Jalili Bahabadi;Amir Mahdavi;Saeed Khankalantary

2024 32nd International Conference on Electrical Engineering (ICEE)

Year: 2024 | Conference Paper |

Unmanned Aerial Vehicle Coverage Path Planning Algorithm Based on Cellular Automata

Zhihua Song;Han Zhang;Fei Liu;Shitao Chen;Fa Zhang

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)

Year: 2018 | Conference Paper |

Cited by: Papers (6)

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Real-time unmanned aerial vehicle coverage path planning is a challenging task. Although different patterns are outlined and optimized, the algorithm of patterns generation given the width of the sensor’s footprint and the map with obstacles is rarely studied. A Cellular Automaton (CA) based algorithm is proposed and implemented for the spiral pattern and tested in maps with obstacles on the corne...Show More

Unmanned Aerial Vehicle Coverage Path Planning Algorithm Based on Cellular Automata

Zhihua Song;Han Zhang;Fei Liu;Shitao Chen;Fa Zhang

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)

Year: 2018 | Conference Paper |

Unmanned Aerial Vehicle Coverage Path Planning Algorithm Based on Cellular Automata

Zhihua Song;Han Zhang;Xiaojie Zhang;Fa Zhang

2019 15th International Conference on Computational Intelligence and Security (CIS)

Year: 2019 | Conference Paper |

Cited by: Papers (5)

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The unmanned aerial vehicle coverage path planning problem is considered to propose an algorithm that is more flexible and easier to implement by computer. The pattern-based algorithm needs geometric analysis of the task area which makes it inflexible and hard to implementation. A Cellular Automation (CA) based algorithm is proposed and was implemented for the spiral pattern and tested in maps wit...Show More

Unmanned Aerial Vehicle Coverage Path Planning Algorithm Based on Cellular Automata

Zhihua Song;Han Zhang;Xiaojie Zhang;Fa Zhang

2019 15th International Conference on Computational Intelligence and Security (CIS)

Year: 2019 | Conference Paper |

Linking Field Decomposition and Coverage Path Planning: A Coevolution Approach

Lukas Bostelmann-Arp;Christoph Steup;Sanaz Mostaghim

2023 IEEE Conference on Artificial Intelligence (CAI)

Year: 2023 | Conference Paper |

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Coverage path planning (CPP) for complex fields in precision farming is often solved by splitting the problem: Finding a good field decomposition and optimizing the paths for each individual field. While various techniques have been proposed for both steps, they are performed sequentially, ignoring the knowledge gain from performing CPP for field decomposition. To overcome this limitation, an appr...Show More

Linking Field Decomposition and Coverage Path Planning: A Coevolution Approach

Lukas Bostelmann-Arp;Christoph Steup;Sanaz Mostaghim

2023 IEEE Conference on Artificial Intelligence (CAI)

Year: 2023 | Conference Paper |

A Map Segmentation Method Based on Deep Learning for Complete Coverage Path Planning

Yihang Liu;Wen Zhang;Haojun Si;Zhe Zhang;Zhonghua Miao;Teng Sun

2023 China Automation Congress (CAC)

Year: 2023 | Conference Paper |

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Path planning is one of the key technologies for autonomous robot navigation and operation. Based on global and local planning, full-coverage path planning is an essential method for solving tasks such as cleaning, inspection, and harvesting in a given area. In this work, complete coverage path planning of a known area is studied. First, navigation and operation within simple graphics like rectang...Show More

A Map Segmentation Method Based on Deep Learning for Complete Coverage Path Planning

Yihang Liu;Wen Zhang;Haojun Si;Zhe Zhang;Zhonghua Miao;Teng Sun

2023 China Automation Congress (CAC)

Year: 2023 | Conference Paper |

A Multi-Objective Evolutionary Algorithm for Shortest Path with Maximal Visual Coverage

Changwen Zheng;Huafei Yin;Jie Li;Min Lu

2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation

Year: 2011 | Conference Paper |

Cited by: Papers (1)

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In this paper, the shortest path planning problem with maximal visual coverage in the raster terrain is studied with the proposal of a multi-objective evolutionary planner. By using a problem-specific representation of candidate solutions and genetic operators, our planner can handle the objectives of the visual coverage and the path length and find the non-dominated solutions efficiently. Utilizi...Show More

A Multi-Objective Evolutionary Algorithm for Shortest Path with Maximal Visual Coverage

Changwen Zheng;Huafei Yin;Jie Li;Min Lu

2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation

Year: 2011 | Conference Paper |

Multi-AUVs cooperative complete coverage path planning based on GBNN algorithm

Daqi Zhu;Chen Tian;Xiaofei Jiang;Chaomin Luo

2017 29th Chinese Control And Decision Conference (CCDC)

Year: 2017 | Conference Paper |

Cited by: Papers (18)

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For the complete coverage path planning of multi-AUVs (autonomous underwater vehicles), a method of cooperative complete coverage path planning for multi-AUVs based on GBNN algorithm is proposed in this paper, where all AUVs share the common working environment information, and each AUV treats other AUVs as moving obstacles. Firstly, a grid map is constructed by discretizing the underwater workspa...Show More

Multi-AUVs cooperative complete coverage path planning based on GBNN algorithm

Daqi Zhu;Chen Tian;Xiaofei Jiang;Chaomin Luo

2017 29th Chinese Control And Decision Conference (CCDC)

Year: 2017 | Conference Paper |

A Complete Coverage Path Planning Method for Mobile Robot in Uncertain Environments

Xuena Qiu;Jiatao Song;Xuejun Zhang;Shirong Liu

2006 6th World Congress on Intelligent Control and Automation

Year: 2006 | Conference Paper |

Cited by: Papers (9)

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In this paper, a novel complete coverage path planning method based on the biologically inspired neural networks, rolling path planning and heuristic searching approach is presented for mobile robot motion planning with obstacles avoidance. The biologically inspired neural network is used to model the environment and calculate the environment information, while the rolling planning technique and t...Show More

A Complete Coverage Path Planning Method for Mobile Robot in Uncertain Environments

Xuena Qiu;Jiatao Song;Xuejun Zhang;Shirong Liu

2006 6th World Congress on Intelligent Control and Automation

Year: 2006 | Volume: 2 | Conference Paper |

Multi-region Coverage Path Planning for Heterogeneous Unmanned Aerial Vehicles Systems

Jinchao Chen;Chenglie Du;Xu Lu;Keke Chen

2019 IEEE International Conference on Service-Oriented System Engineering (SOSE)

Year: 2019 | Conference Paper |

Cited by: Papers (18)

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Recently unmanned aerial vehicles (UAVs) have been widely adopted by military and civilian applications due to their strong autonomies and adaptabilities. Although UAVs can achieve effective cost reduction and flexibility enhancement in the development of systems with search or surveillance missions, they result in a complex path planning problem. Especially in region coverage systems, coverage pa...Show More

Multi-region Coverage Path Planning for Heterogeneous Unmanned Aerial Vehicles Systems

Jinchao Chen;Chenglie Du;Xu Lu;Keke Chen

2019 IEEE International Conference on Service-Oriented System Engineering (SOSE)

Year: 2019 | Conference Paper |

Concentrated Coverage Path Planning Algorithm of UAV Formation for Aerial Photography

Yi Cao;Xianghong Cheng;Jinzhen Mu

IEEE Sensors Journal

Year: 2022 | Volume: 22, Issue: 11 | Journal Article |

Cited by: Papers (32)

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In the field of aerial photography, UAVs can be used as an ideal carrier of sensors. It is meaningful to plan its coverage path combined with the sensor model. Previous works mainly used decentralized coverage to realize UAV formation cooperative operation, but for the aerial photography scene of a single task, the decentralized coverage algorithm is not effective. In this paper, a centralized cov...Show More

Concentrated Coverage Path Planning Algorithm of UAV Formation for Aerial Photography

Yi Cao;Xianghong Cheng;Jinzhen Mu

IEEE Sensors Journal

Year: 2022 | Volume: 22, Issue: 11 | Journal Article |

Global and Local Area Coverage Path Planner for a Reconfigurable Robot

S. M. Bhagya P. Samarakoon;M. A. Viraj J. Muthugala;Mohan Rajesh Elara

2022 IEEE Congress on Evolutionary Computation (CEC)

Year: 2022 | Conference Paper |

Cited by: Papers (6)

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Area coverage is essential for robots used in cleaning, painting, and exploration applications. Reconfigurable robots have been introduced to solve the area coverage limitation of fixed-shape robots. The existing global coverage algorithms of reconfigurable robots are limited to consideration of a limited set of predefined shapes for the reconfiguration and do not consider the exact geometrical sh...Show More

Global and Local Area Coverage Path Planner for a Reconfigurable Robot

S. M. Bhagya P. Samarakoon;M. A. Viraj J. Muthugala;Mohan Rajesh Elara

2022 IEEE Congress on Evolutionary Computation (CEC)

Year: 2022 | Conference Paper |

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