11 papers · ranked by Valyu relevance
Duncan T. Forster, Sheena C. Li, Yoko Yashiroda, Mami Yoshimura + 9 more
Biological networks constructed from varied data, including protein-protein interactions, gene expression data, and genetic interactions can be used to map cellular function, but each data type has individual limitations such as bias and incompleteness. Network integration promises to address these limitations by…
Nuo Xu, Haochen Zhu, Jiyu Sun, Jiang Zhao
The protection of plants in mountainous and hilly areas differs from that in plain areas due to the complex terrain, which divides the work plot into many narrow plots. When designing the path planning method for plant protection UAVs, it is important to consider the generality in different working environments. To…
Qingzheng Cao, Shuqi Yuan, Yi Fang, Stanislav N. Gorb
With the advancement of industrial digitization, utilizing large datasets for model training to boost performance is a pivotal technical approach for industry progress. However, raw training datasets often contain abundant redundant features, which increase model training’s computational cost and impair generalization…
Jing Hu, Junchao Niu, Bangcheng Zhang, Xiang Gao + 4 more
'Sa Huang' 'Heming Jia' 'Yongquan Zhou'] Automated Guided Vehicles (AGVs) face dynamic and static obstacles in the process of transporting patients in medical environments, and they need to avoid these obstacles in real time. This paper proposes a bionic obstacle avoidance strategy based on the adaptive behavior of…
Shuihua Wang, Huiling Chen, Yudong Zhang
Bionic artificial neural networks (BANNs) are a type of artificial neural network (ANN) that draw inspiration from the biological neural networks in living organisms, such as the brain and the nervous system . BANNs aim to create more advanced and adaptable artificial intelligence systems that can learn and make…
Yuanyuan Zheng, Hanqi Zhang, Gang Zheng, Yuanjian Hong + 4 more
'Zhonghua Wei' 'Peng Sun' 'Andrew Adamatzky' 'Yinggao Yue'] Although existing motion transfer methods for bionic robot arms are based on kinematic equivalence or simplified dynamic models, they frequently fail to tackle dynamic compliance and real-time adaptability in complex human-like motions. To address this…
Yi Deng, Tao Zhou, Guojin Zhao, Kuihu Zhu + 3 more
'Cosimo Distante'] Energy saving in palletizing robot is a fundamental problem in the field of industrial robots. However, the palletizing robot often suffers from the problems of high energy consumption and lacking flexibility. In this work, we introduce a novel differential evolution algorithm to address the adverse…
Mark Brinton, Elliott Barcikowski, Tyler Davis, Michael Paskett + 2 more
This paper describes a portable, prosthetic control system for at-home use of an advanced bionic arm. The system uses a modified Kalman filter to provide 6 degree-of-freedom, real-time, proportional control. We describe (a) how the system trains motor control algorithms for use with an advanced bionic arm, and (b) the…
Changxian Xu, Zhongbo Sun, Chen Wang, Xiujun Wu + 2 more
'Liming Zhao'] In this article, a tensegrity-based knee mechanism is studied for developing a high-efficiency rehabilitation knee exoskeleton. Moreover, the kinematics and dynamics models of the knee mechanism are explored for bringing about further improvement in controller design. In addition, to estimate the…
Adam Pieprzycki, Daniel Król, Bartosz Srebro, Marcin Skobel + 1 more
'Georg Fischer'] The primary objective of the presented study is to develop a comprehensive system for the acquisition of surface electromyographic (sEMG) data and to perform time-frequency analysis aimed at extracting discriminative features for the classification of hand gestures intended for the control of a…
Leonardo Giannantoni, Alessandro Savino, Stefano Di Carlo
In the expanding realm of computational biology, Reinforcement Learning (RL) emerges as a novel and promising approach, especially for designing and optimizing complex synthetic biological circuits. This study explores the application of RL in controlling Hopf bifurcations within ODE-based systems, particularly under…