机器人
触觉传感器
抓住
人工智能
计算机科学
感知
触觉知觉
人机交互
感觉系统
计算机视觉
机器人学
心理学
生物
神经科学
认知心理学
程序设计语言
作者
Yue Jiang,Lin Fan,Xilong Sun,Zehe Luo,Herong Wang,Rucong Lai,Jie Wang,Qiyang Gan,Ning Li,Jindong Tian
出处
期刊:Advanced Science
[Wiley]
日期:2024-09-09
卷期号:11 (41): e2402705-e2402705
被引量:29
标识
DOI:10.1002/advs.202402705
摘要
, a triboelectricity nanogenerator with the fast response speed of 30 ms, and a pressure sensor array capable of 3D force detection. By Combining transfer learning models, which fuses multimodal tactile information to achieve high-precision (up to 95%) recognition of the multi-featured targets such as random hardness and texture information under random sampling conditions, including random grasp force and velocity. This sensory system is expected to enhance the intelligent recognition and behavior-planning capabilities of autonomous robots when performing complex tasks in undefined surrounding environments.
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