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Satoshi Warita and Katsuhide Fujita
Recently, multi-agent systems have become widespread as essential technologies for various practical problems. An essential problem in multi-agent systems is collaborative automating picking and delivery operations in warehouses. The warehouse commission...
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You Zhou, Shaowu Zhou, Mao Wang and Anhua Chen
A multitarget search algorithm for swarm robot in an unknown 3D mountain environment is proposed. Most existing 3D environment obstacle avoidance algorithms are potential field methods, which need to consider the location information of all obstacles aro...
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Kunfeng Lu, Ruiguang Hu, Zheng Yao and Huixia Wang
Trajectory planning and obstacle avoidance play essential roles in the cooperative flight of multiple unmanned aerial vehicles (UAVs). In this paper, a unified framework for onboard distributed trajectory planning is proposed, which takes full advantage ...
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Gang Huang, Min Hu, Xueying Yang and Peng Lin
Multi-UAV cooperative trajectory planning (MUCTP) refers to the planning of multiple flyable trajectories based on the location of each UAV and mission point in a complex environment. In the planning process, the complex 3D space structure increases the ...
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Zhiyao Zhao, Bin Zhu, Yan Zhou, Peng Yao and Jiabin Yu
This paper solves the problem of cooperative path planning of multiple unmanned surface vehicles (USVs) for search and coverage tasks in water environments. Firstly, taking the search coverage problem of water surface pollutants as an example, the inform...
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Okan Asik, Fatma Basak Aydemir and Hüseyin Levent Akin
The number of agents exponentially increases the complexity of a cooperative multi-agent planning problem. Decoupled planning is one of the viable approaches to reduce this complexity. By integrating decoupled planning with Monte Carlo Tree Search, we pr...
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Xiayin Lou, Min Sun, Hanjun Yang and Shihao Yang
The development of a cooperative pursuit strategy for capturing escaping criminals or dangerous animals in urban public safety emergencies is becoming increasingly in demand. An ideal strategy should consider both the encirclement needed to prevent crimi...
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Yongzhao Yan, Zhenqian Sun, Yueqi Hou, Boyang Zhang, Ziwei Yuan, Guoxin Zhang, Bo Wang and Xiaoping Ma
Unmanned aerial vehicle (UAV) swarms offer unique advantages for area search and environmental monitoring applications. For practical deployments, determining the optimal number of UAVs required for a given task and defining key performance metrics for t...
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Fayin Chen, Yong Tang, Nannan Li, Tao Wang and Yiwen Hu
This academic paper addresses the challenges associated with trajectory planning for affordable and light-weight Unmanned Aerial Vehicle (UAV) swarms, despite limited computing resources and extensive cooperation requirements. Specifically, an imitation-...
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Yunhong Yang, Xingzhong Xiong and Yuehao Yan
With the continuous development of UAV technology and swarm intelligence technology, the UAV formation cooperative mission has attracted wide attention because of its remarkable function and flexibility to complete complex and changeable tasks, such as s...
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