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Xi Lyu, Yushan Sun, Lifeng Wang, Jiehui Tan and Liwen Zhang
This study aims to solve the problems of sparse reward, single policy, and poor environmental adaptability in the local motion planning task of autonomous underwater vehicles (AUVs). We propose a two-layer deep deterministic policy gradient algorithm-bas...
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Shunan Hu, Shenpeng Tian, Jiansen Zhao and Ruiqi Shen
In order to ensure the safe navigation of USVs (unmanned surface vessels) and real-time collision avoidance, this study conducts global and local path planning for USVs in a variable dynamic environment, while local path planning is proposed under the co...
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Yogang Singh, Marco Bibuli, Enrica Zereik, Sanjay Sharma, Asiya Khan and Robert Sutton
Formation control and cooperative motion planning are two major research areas currently being used in multi robot motion planning and coordination. The current study proposes a hybrid framework for guidance and navigation of swarm of unmanned surface ve...
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Hongwen Zhang and Zhanxia Zhu
Motion planning is one of the most important technologies for free-floating space robots (FFSRs) to increase operation safety and autonomy in orbit. As a nonholonomic system, a first-order differential relationship exists between the joint angle and the ...
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Daniel L. Mendoza, Erik T. Crosman, Logan E. Mitchell, Alexander A. Jacques, Benjamin Fasoli, Andrew M. Park, John C. Lin and John D. Horel
Observing air quality from sensors onboard light rail cars in Salt Lake County, Utah began as a pilot study in 2014 and has now evolved into a five-year, state-funded program. This metropolitan region suffers from both elevated ozone levels during summer...
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