{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T23:45:10Z","timestamp":1775000710784,"version":"3.50.1"},"reference-count":29,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2022,10,2]],"date-time":"2022-10-02T00:00:00Z","timestamp":1664668800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51735007"],"award-info":[{"award-number":["51735007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Intelligent Systems"],"published-print":{"date-parts":[[2022,11]]},"abstract":"<jats:sec><jats:label\/><jats:p>Human\u2013robot interaction and collaboration are emerging as critical and necessary technologies as robots become more commonplace in our lives. Haptic perception and intelligent control are essential to ensure safe and dexterous interactions between humans and robots. Traditional interaction methods using robot proprioceptors rely on robot dynamic models that complicate robotic controls and narrow their adaptabilities. Herein, an intelligent interactive control method is proposed based on a generalized virtual spring\u2010damping force\u2010touch mechanism using haptic e\u2010skin, which converts contact forces and contact positions on the e\u2010skin to generalized forces for implementing robot compliance controls of multidimensional movements. By touching the e\u2010skin mounted on a robot arm, a human can readily manipulate the robot arm, achieving flexible movement and rotation. An intelligent architecture of human\u2013robot\u2010in\u2010the\u2010loop is proposed to accomplish versatile interactive and collaborative actions. A task learning is demonstrated for a robot from human, that is, a human teaches a robot how to pick up, carry, and place an object into a box by hand\u2010by\u2010hand teaching, which shows promising prospects in intelligent robot applications.<\/jats:p><\/jats:sec>","DOI":"10.1002\/aisy.202200101","type":"journal-article","created":{"date-parts":[[2022,10,2]],"date-time":"2022-10-02T21:34:45Z","timestamp":1664746485000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Intelligent Interactive Control via Haptic E\u2010skin for Human\u2013Robot Interaction and Collaboration"],"prefix":"10.1002","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4774-5494","authenticated-orcid":false,"given":"Guozhen","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instrument Tsinghua University  Beijing 100084 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5363-9519","authenticated-orcid":false,"given":"Rong","family":"Zhu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instrument Tsinghua University  Beijing 100084 China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,10,2]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2020.2995904"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2020.576846"},{"key":"e_1_2_8_4_1","unstructured":"S.Takakura T.Murakami K.Ohnishi presented at15th Annual Conf. of IEEE Industrial Electronics Society IEEE Piscataway NJ November 1989."},{"key":"e_1_2_8_5_1","unstructured":"S.Morinaga K.Kosuge presented at2003 IEEE Int. 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