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Shuo Liu, Bohan Feng, Youyi Bi and Dan Yu
Mobile robots play an important role in smart factories, though efficient task assignment and path planning for these robots still present challenges. In this paper, we propose an integrated task- and path-planning approach with precedence constrains in ...
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Guangxiu Ning, Lide Su, Yong Zhang, Jian Wang, Caili Gong and Yu Zhou
Due to its flexibility and versatility, the electric distributed drive micro-tillage chassis can be used more often in the future in Intelligence agriculture scenarios. However, due to the complex working conditions of the agricultural operation environm...
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Wenfei Wang, Maolong Lv, Le Ru, Bo Lu, Shiguang Hu and Xinlong Chang
Unmanned aerial vehicles (UAVs) can be used in swarms to achieve multiple tasks cooperatively. Multi-UAV and multi-target cooperative task assignments are difficult. To solve the problem of unbalanced, phased, cooperative assignment between UAVs and task...
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Yuxin Jiao, Zhikun Lin, Long Yu and Xiaozhu Wu
Task allocation is a critical issue of spatial crowdsourcing. Although the batching strategy performs better than the real-time matching mode, it still has the following two drawbacks: (1) Because the granularity of the batch size set obtained by batchin...
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Wei Cui, Ruilin Li, Yanxiang Feng and Yikang Yang
This paper develops a distributed method, namely, distributed allocation with time windows (DATW) for managing the multi-UAV task assignment problem (MTAP) with complex time window constraints. By aiming directly to minimize the average task completion t...
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Jung-Fa Tsai, Chun-Hua Huang and Ming-Hua Lin
With the advent of the Internet of Things era, more and more emerging applications need to provide real-time interactive services. Although cloud computing has many advantages, the massive expansion of the Internet of Things devices and the explosive gro...
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