Robotics & Machine Learning Daily News2024,Issue(Nov.8) :52-53.

Third Affiliated Hospital of Sun Yat-Sen University Reports Findings in Robotics (Artificial Tactile Sensory Finger for Contact Pattern Identification Based on High Spatiotemporal Piezoresistive Sensor Array)

中山大学附属第三医院报告发现机器人学(接触模式的人工触觉感觉手指基于高时空压阻传感器的辨识数组

Robotics & Machine Learning Daily News2024,Issue(Nov.8) :52-53.

Third Affiliated Hospital of Sun Yat-Sen University Reports Findings in Robotics (Artificial Tactile Sensory Finger for Contact Pattern Identification Based on High Spatiotemporal Piezoresistive Sensor Array)

中山大学附属第三医院报告发现机器人学(接触模式的人工触觉感觉手指基于高时空压阻传感器的辨识数组

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的结尾。根据新闻报道由NewsRx记者发起的中国人民再公众广州的研究称,“人类”指尖触觉感知依赖于密集分布的触觉受体的激活大脑中的接触模式。尽管在整合触觉传感器和机器学习方面做了大量的努力识别物体表面物理特征的算法,开发触觉传感系统,模拟人类指尖识别接触模式的高时空温度口腔分辨率能力仍然是一个巨大的挑战。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating in Guangzhou, People’s Re public of China, by NewsRx journalists, research stated, “Humanfingertip tactil e perception relies on the activation of densely distributed tactile receptors t o identifycontact patterns in the brain. Despite significant efforts to integra te tactile sensors with machine learningalgorithms for recognizing physical pat terns on object surfaces, developing a tactile sensing system thatemulates huma n fingertip capabilities for identifying contact patterns with a high spatiotemp oral resolutionremains a formidable challenge.”

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Robotics/Robots

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文