Outside Front Cover: Volume 4 Issue 2

IF 24.5 Q1 CHEMISTRY, PHYSICAL Interdisciplinary Materials Pub Date : 2025-03-26 DOI:10.1002/idm2.12185
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Abstract

Outside Front Cover: The study reported in doi:10.1002/idm2.12233 examines recent progress in tactile sensing and machine learning for texture perception, focusing on sensor design principles, touch- and sliding-based approaches, and associated machine learning algorithms. This image illustrates that the robots can recognize object textures through touch/sliding sensors and improve manipulation dexterity, critical for applications in healthcare, education, and space exploration. The work also discusses challenges and future opportunities, aiming to advance tactile perception in humanoid robotics.

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外封面:第4卷第2期
外封面:该研究报告于doi:10.1002/idm2.12233,研究了触觉传感和机器学习在纹理感知方面的最新进展,重点关注传感器设计原则、基于触摸和滑动的方法以及相关的机器学习算法。该图像表明,机器人可以通过触摸/滑动传感器识别物体纹理,并提高操作灵活性,这对医疗保健、教育和太空探索的应用至关重要。这项工作还讨论了挑战和未来的机遇,旨在推进人形机器人的触觉感知。
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Issue Information Outside Front Cover: Volume 4 Issue 6 Outside Back Cover: Volume 4 Issue 6 Inside Front Cover: Volume 4 Issue 6 Carbon Nitrides-Based Heterojunction for High-Efficient Li Salt Dissociation
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