{"title":"Anti-Slipping Adaptive Grasping Control with a Novel Optoelectronic Soft Sensor","authors":"M. Han, D. Popa, C. Harnett","doi":"10.1109/RoboSoft55895.2023.10122010","DOIUrl":null,"url":null,"abstract":"Grasping control is one of the key features of robot manipulation. Slipping detection, avoidance, and minimum force grasping are of primary concern since it is expected that robot manipulators have similar performance to human hands. In this work, a new type of optoelectronic sensor, which has a human-like soft skin but a simple design, is applied to slip motion control. Based on the model of this soft sensor and the robotic gripper, we describe a model reference adaptive controller (MRAC) to estimate unknown system parameters for grasping random objects. Update laws for unknown parameters are chosen by stability analysis and the system feasibility is illustrated through both numerical simulation and hardware experiment.","PeriodicalId":250981,"journal":{"name":"2023 IEEE International Conference on Soft Robotics (RoboSoft)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Soft Robotics (RoboSoft)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RoboSoft55895.2023.10122010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Grasping control is one of the key features of robot manipulation. Slipping detection, avoidance, and minimum force grasping are of primary concern since it is expected that robot manipulators have similar performance to human hands. In this work, a new type of optoelectronic sensor, which has a human-like soft skin but a simple design, is applied to slip motion control. Based on the model of this soft sensor and the robotic gripper, we describe a model reference adaptive controller (MRAC) to estimate unknown system parameters for grasping random objects. Update laws for unknown parameters are chosen by stability analysis and the system feasibility is illustrated through both numerical simulation and hardware experiment.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
