10 papers · ranked by Valyu relevance
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…
Zijie Zhou, Yitao Huang, Jiyu Sun, Honghao Zhang + 3 more
This paper presents a bionic extended Kalman filter (EKF) state estimation algorithm for agricultural planters, inspired by the bionic mechanism of migratory birds navigating in complex environments, where migratory birds achieve precise localization behaviors by fusing multi-sensory information (e.g., geomagnetic…
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…
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…
Hunter R. Schone, Malcolm Udeozor, Mae Moninghoff, Beth Rispoli + 5 more
A longstanding engineering ambition has been to design anthropomorphic bionic limbs: devices that look like and are controlled in the same way as the biological body (biomimetic). The untested assumption is that biomimetic motor control enhances device embodiment, learning, generalization, and automaticity. To test…
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…