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Titlebook: Bioinspired Approaches for Human-Centric Technologies; Roberto Cingolani Book 2014 Springer International Publishing Switzerland 2014 biom

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發(fā)表于 2025-3-21 16:45:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Bioinspired Approaches for Human-Centric Technologies
影響因子2023Roberto Cingolani
視頻videohttp://file.papertrans.cn/188/187250/187250.mp4
發(fā)行地址Gives a condensed overview to the state of the art of nanotechnology and its applications in medicine.Written by dedicated experts in the respective fields.Creates links among apparently unrelated dis
圖書(shū)封面Titlebook: Bioinspired Approaches for Human-Centric Technologies;  Roberto Cingolani Book 2014 Springer International Publishing Switzerland 2014 biom
影響因子.The present book discusses topics related to research and development of materials and devices at nanoscale size and their respective application in medicine and biomedicine..The individual chapters give a detailed state of the art overview to the distinct topic. Apparently disconnected fields - life sciences, biomedicine, chemistry, physics, medicine and engineering - will be bridged with a highly interdisciplinary view onto each subject..
Pindex Book 2014
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Emerging Technologies Inspired by Plants,f information (which is primarily obtained from the soil) to survive extreme conditions? How can roots avoid danger if they cannot move quickly within the soil? Additionally, can science and technology take advantage of strategies to penetrate and explore soil as well as to maintain good performance
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Sensorimotor Coordination in a Humanoid Robot: Building Intelligence on the iCub,e force and impedance control, whole-body coordination during physical interaction with the environment, point-to-point reaching movements, and grasping visually identified objects. To tackle these problems a variety of sensors and methods have to be integrated, including vision, force and touch, ha
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,Towards a “Brain-Guided” Cognitive Architecture, increasing complexity. Still we are far away from a real understanding which can allow us, for example, to integrate what we know in large-scale projects like VPH (Virtual Physiological Human). In a sense, the abundance of new behavioral, neurophysiological, and computational approaches may worsen
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https://doi.org/10.1057/9780230276147nd-coded models, and machine learning. This requires a careful balance of the a priori design effort in order to properly manage the complexity of data collection for learning and the overall performance of the robotic system. In this chapter we treat the implementation of these techniques on the well-known iCub humanoid robot.
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