Autonomous Intelligent Systems

SCOPUS (2021-2025)

  2730-616X

 

 

 

Cơ quản chủ quản:  N/A

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Các bài báo tiêu biểu

Online distributed tracking of generalized Nash equilibrium on physical networks
- 2021
Yifan Su, Feng Liu, Zhaojian Wang, Shengwei Mei, Qiang Lu
AbstractIn generalized Nash equilibrium (GNE) seeking problems over physical networks such as power grids, the enforcement of network constraints and time-varying environment may bring high computational costs. Developing online algorithms is recognized as a promising method to cope with this challenge, where the task of computing system states is replaced by directly using measured values from th... hiện toàn bộ
Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games
- 2022
Shu Liang, Peng Yi, Hong Ye, Kaixiang Peng
AbstractDistributed Nash equilibrium seeking of aggregative games is investigated and a continuous-time algorithm is proposed. The algorithm is designed by virtue of projected gradient play dynamics and aggregation tracking dynamics, and is applicable to games with constrained strategy sets and weight-balanced communication graphs. The key feature of our method is that the proposed projected dynam... hiện toàn bộ
Leveraging on non-causal reasoning techniques for enhancing the cognitive management of highly automated vehicles
Tập 2 Số 1
Ilias Panagiotopoulos, George Dimitrakopoulos
AbstractHighly Automated Vehicles (HAVs) are expected to improve the performance of terrestrial transportations by providing safe and efficient travel experience to drivers and passengers. As HAVs will be equipped with different driving automation levels, they should be capable to dynamically adapt their Level of Autonomy (LoA), in order to tackle sudden and recurrent changes in their environment ... hiện toàn bộ
Prediction for nonlinear time series by improved deep echo state network based on reservoir states reconstruction
Tập 4 Số 1
Qiang Yu, Hao Zhao, Teng Li, Li Li, Ansar-Ul-Haque Yasar, Stéphane Galland
AbstractWith the aim to enhance prediction accuracy for nonlinear time series, this paper put forward an improved deep Echo State Network based on reservoir states reconstruction driven by a Self-Normalizing Activation (SNA) function as the replacement for the traditional Hyperbolic tangent activation function to reduce the model’s sensitivity to hyper-parameters. The Strategy was implemented in a... hiện toàn bộ
Remote collaborative process optimization in research and design of industrial manufacturing
Siqin Wang, Qingdu Li
AbstractIn response to the impact of COVID-19, the manufacturing industry and academic industrial research have largely shifted to online or hybrid conference formats. The sudden change has posed challenges for researchers and teams to adapt. Based on the current state of online conferences, inadequate communication, disruptions during meetings, confusion and loss of meeting information, and diffi... hiện toàn bộ
Collaboration effectiveness-based complex operations allocation strategy towards to human–robot interaction
Tập 2 - Trang 1-12 - 2022
Fuqiang Zhang, Yanrui Zhang, Shilin Xu
Under the background of the fourth industrial revolution driven by the new generation information technology and artificial intelligence, human–robot collaboration has become an important part of smart manufacturing. The new “human–robot–environment” relationship conducts industrial robots to collaborate with workers to adapt to environmental changes harmoniously. How to determine a reasonable hum... hiện toàn bộ
Distilling base-and-meta network with contrastive learning for few-shot semantic segmentation
Tập 3 - Trang 1-11 - 2023
Xinyue Chen, Yueyi Wang, Yingyue Xu, Miaojing Shi
Current studies in few-shot semantic segmentation mostly utilize meta-learning frameworks to obtain models that can be generalized to new categories. However, these models trained on base classes with sufficient annotated samples are biased towards these base classes, which results in semantic confusion and ambiguity between base classes and new classes. A strategy is to use an additional base lea... hiện toàn bộ
Riemannian geometric approach to optimal binocular rotation, pyramid based interpolation and bio-mimetic pan-tilt movement
Tập 1 - Trang 1-19 - 2021
Bijoy K. Ghosh, Bhagya Athukorallage
Over the past several years, we have been studying the problem of optimally rotating a rigid sphere about its center, where the rotation is actuated by a triplet of external torques acting on the body. The control objective is to repeatedly direct a suitable radial vector, called the gaze vector, towards a stationary point target in IR3. The orientation of the sphere is constrained to lie in a sui... hiện toàn bộ
An attention enhanced dilated CNN approach for cross-axis industrial robotics fault diagnosis
Tập 2 - Trang 1-11 - 2022
Yuxin Liu, Chong Chen, Tao Wang, Lianglun Cheng
An industrial robot is a complex mechatronics system, whose failure is hard to diagnose based on monitoring data. Previous studies have reported various methods with deep network models to improve the accuracy of fault diagnosis, which can get an accurate prediction model when the amount of data sample is sufficient. However, the failure data is hard to obtain, which leads to the few-shot issue an... hiện toàn bộ
Enhanced pothole detection system using YOLOX algorithm
Tập 2 - Trang 1-16 - 2022
Mohan Prakash B, Sriharipriya K.C
The road is the most commonly used means of transportation and serves as a country’s arteries, so it is extremely important to keep the roads in good condition. Potholes that happen to appear in the road must be repaired to keep the road in good condition. Spotting potholes on the road is difficult, especially in a country like India where roads stretch millions of kilometres across the country. T... hiện toàn bộ