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Ruijun Hu and Yulin Zhang
The global path planning of planetary surface rovers is crucial for optimizing exploration benefits and system safety. For the cases of long-range roving or obstacle constraints that are time-varied, there is an urgent need to improve the computational e...
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Hassan Sadeghi, Seyed Sadredin Shojaedin, Ali Abbasi, Elham Alijanpour, Marcus Fraga Vieira, Zdenek Svoboda and Kianoush Nazarpour
Falling is one of the most common causes of hip fracture and death in older adults. A comparison of the biomechanics of the gait in fallers and non-fallers older adults, especially joint coordination and coordination variability, enables the understandin...
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Juan Chen, Zhengxuan Xue and Daiqian Fan
In order to solve the problem of vehicle delay caused by stops at signalized intersections, a micro-control method of a left-turning connected and automated vehicle (CAV) based on an improved deep deterministic policy gradient (DDPG) is designed in this ...
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Hongjie Zhang, Cheng Qu, Jindou Zhang and Jing Li
Deep Reinforcement Learning (DRL) is a promising approach for general artificial intelligence. However, most DRL methods suffer from the problem of data inefficiency. To alleviate this problem, DeepMind proposed Prioritized Experience Replay (PER). Thoug...
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Ming Ha Lee,K. S. Khee Yong Si,XinYing Chew,Edmonds M. F. Lau,Patrick H. H. Then
The purpose of this study is to investigate the performance of the double sampling (DS) Xbarchart when measurement errors exist. The effects of measurement error ratio,parameter of the linearly covariate error model and multiple measurements on the perfo...
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