A survey of robot swarms' relative localization method
S Chen, D Yin, Y Niu - Sensors, 2022 - mdpi.com
For robot swarm applications, accurate positioning is one of the most important requirements
for avoiding collisions and keeping formations and cooperation between individuals …
for avoiding collisions and keeping formations and cooperation between individuals …
[PDF][PDF] 工业机器人定位精度可靠性研究现状综述
吴锦辉, 陶友瑞 - 中国机械工程, 2020 - qikan.cmes.org
工业机器人定位精度直接影响其辅助制造产品的精度水平和质量一致性. 工业机器人定位精度
可靠性和定位误差补偿技术已成为学术界和工业界讨论的热点. 对工业机器人定位精度可靠性及 …
可靠性和定位误差补偿技术已成为学术界和工业界讨论的热点. 对工业机器人定位精度可靠性及 …
Positioning accuracy analysis of industrial robots based on non-probabilistic time-dependent reliability
A novel method for positioning accuracy analysis based on non-probabilistic time-
dependent reliability is proposed for industrial robots with multisource uncertainties. To …
dependent reliability is proposed for industrial robots with multisource uncertainties. To …
[HTML][HTML] An optimal tolerance design approach of robot manipulators for positioning accuracy reliability
This paper proposes a novel tolerance design method for robot manipulators to select the
optimal tolerances of kinematic parameters. A tolerance optimization model is presented to …
optimal tolerances of kinematic parameters. A tolerance optimization model is presented to …
Hybrid learning algorithm of radial basis function networks for reliability analysis
With the wide application of industrial robots in the field of precision machining, reliability
analysis of positioning accuracy becomes increasingly important for industrial robots. Since …
analysis of positioning accuracy becomes increasingly important for industrial robots. Since …
Kinematic trajectory accuracy reliability analysis for industrial robots considering intercorrelations among multi-point positioning errors
The kinematic trajectory accuracy reliability is an essential index to evaluate the service
performance of industrial robots. This study proposes a new kinematic trajectory accuracy …
performance of industrial robots. This study proposes a new kinematic trajectory accuracy …
System reliability analysis based on dependent Kriging predictions and parallel learning strategy
NC Xiao, K Yuan, H Zhan - Reliability Engineering & System Safety, 2022 - Elsevier
Reliability analysis of a complex system is challenging because of complex failure regions
and frequent requirement of time-consuming simulations. To address these problems …
and frequent requirement of time-consuming simulations. To address these problems …
New efficient and robust method for structural reliability analysis and its application in reliability-based design optimization
Due to its advantages of simplicity and high efficiency, Hasofer–Lind and Rackwitz–Fiessler
(HL–RF) method is widely used in structural reliability analysis. However, it may encounter …
(HL–RF) method is widely used in structural reliability analysis. However, it may encounter …
Optimal sparse polynomial chaos expansion for arbitrary probability distribution and its application on global sensitivity analysis
Polynomial chaos expansion has received considerable attention in uncertainty
quantification since its great modeling capability for complex systems. However, considering …
quantification since its great modeling capability for complex systems. However, considering …
A new reliability method for small failure probability problems by combining the adaptive importance sampling and surrogate models
NC Xiao, H Zhan, K Yuan - Computer Methods in Applied Mechanics and …, 2020 - Elsevier
Reliability analysis for structural systems with multiple failure modes and expensive-to-
evaluate simulations is challenging. In this paper, a new and efficient system reliability …
evaluate simulations is challenging. In this paper, a new and efficient system reliability …