摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报告的主题。据中国人民共和国天津的新闻报道，NewsRx记者的研究表明：“软机器人因其固有的柔性和可成型性，在各种场景和任务中具有适应性和灵活性的优势，使其在现实世界中的应用前景非常广阔。电子皮肤(E-Skin)感知系统的开发对软机器人的发展至关重要。”本研究经费来源于重庆市自然科学基金。新闻记者引用河北工业大学的一篇研究报告，“然而，在电子皮肤中实现外感和本体感的能力，特别是在信号的去耦和分类方面，仍然是一个挑战。本研究提出了一种具有离子和离子混合导电性的电子皮肤，可以同时实现外感和外感。”基于导电水凝胶的电阻响应，与软机器人集成实现状态感知，利用决策树的机器学习模型和随机前沿算法对传感信号进行解码，结果表明，新研制的水凝胶传感系统能够准确预测柔性机器人在不同程度的挤压、热压、弯曲、扭曲和拉伸下的姿态变化。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting from Tianjin, People's Republ ic of China, by NewsRx journalists, research stated, "Soft robots have the advan tage of adaptability and flexibility in various scenarios and tasks due to their inherent flexibility and mouldability, which makes them highly promising for re al-world applications. The development of electronic skin (E-skin) perception sy stems is crucial for the advancement of soft robots." Financial support for this research came from Natural Science Foundation of Chon gqing Municipality. The news correspondents obtained a quote from the research from the Hebei Univer sity of Technology, "However, achieving both exteroceptive and proprioceptive ca pabilities in E-skins, particularly in terms of decoupling and classifying sensi ng signals, remains a challenge. This study presents an E-skin with mixed electr onic and ionic conductivity that can simultaneously achieve exteroceptive and pr oprioceptive, based on the resistance response of conductive hydrogels. It is in tegrated with soft robots to enable state perception, with the sensed signals fu rther decoded using the machine learning model of decision trees and random fore st algorithms. The results demonstrate that the newly developed hydrogel sensing system can accurately predict attitude changes in soft robots when subjected to varying degrees of pressing, hot pressing, bending, twisting, and stretching."
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