{"id":346,"date":"2017-11-13T23:06:36","date_gmt":"2017-11-13T23:06:36","guid":{"rendered":"http:\/\/depts.washington.edu\/amplify\/?page_id=346"},"modified":"2024-08-15T22:02:30","modified_gmt":"2024-08-15T22:02:30","slug":"interdisciplinary-groups","status":"publish","type":"page","link":"https:\/\/depts.washington.edu\/amplify\/past-projects\/interdisciplinary-groups\/","title":{"rendered":"Quantifying Human-Cyber-Physical-Systems (HCPS) Interactions"},"content":{"rendered":"<p class=\"has-text-align-center\">\n<div>\n    <video id=\"plyr69f5258d954b2\" autoplay loop controls class=\"easy-video-player\"><source src=\"http:\/\/depts.washington.edu\/amplify\/amplifysite\/wp-content\/uploads\/2017\/11\/ReferenceTrackingTrim1.mov\" type=\"video\/mp4\" \/><\/video>\n    <\/div>\n<p>    <script>\n        const evplayerplyr69f5258d954b2 = new Plyr(document.getElementById('plyr69f5258d954b2'));\n        evplayerplyr69f5258d954b2.ratio = '16:9';\n        evplayerplyr69f5258d954b2.iconUrl = 'https:\/\/depts.washington.edu\/amplify\/amplifysite\/wp-content\/plugins\/easy-video-player\/lib\/plyr.svg';\n        evplayerplyr69f5258d954b2.blankVideo = 'https:\/\/depts.washington.edu\/amplify\/amplifysite\/wp-content\/plugins\/easy-video-player\/lib\/blank.mp4';  \n    <\/script><\/p>\n<p><strong>Team:\u00a0<\/strong>Cydney Beckwith, Darrin Howell, Momona Yamagami<br \/><strong>Mentor:\u00a0<\/strong>Sam Burden &amp; Eatai Roth (ECE)<\/p>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<p>Human interaction with the physical world is increasingly mediated by intelligent machines, e.g., surgical robots and active prostheses \/ orthoses. Our&nbsp;goal is&nbsp;to amplify this interaction by designing machines that adapt to and learn from their human partners.<\/p>\n<p>Towards this end,&nbsp;we&nbsp;sought to elucidate the feedback and feedforward control strategies used by&nbsp;human operators to&nbsp;supervise&nbsp;these machines. We investigated this line of inquiry&nbsp;by simulating&nbsp;robotic teleoperation via&nbsp;a path&nbsp;following video game. We collected thousands of trajectory tracking trials from a total of eight human subjects.<\/p>\n<p>Our results show that human operators learn and invert system dynamics while executing these teleoperation simulations. These data suggest that operators engage in model inversion, a process of <em>defining a desired\u00a0output<\/em> and <em>internally planning an input<\/em> to arrive at the intended\u00a0target.<\/p>\n<p>These results may provide insights towards developing&nbsp;control interfaces&nbsp;that can&nbsp;adapt to their&nbsp;human operators with high fidelity and guarantee reliably safe teleoperation.<\/p>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<h3 class=\"wp-block-heading\"><em>Publications:<\/em><\/h3>\n<p>E. Roth, D. Howell, C. Beckwith, and S. A. Burden. Toward experimental validation of a model for human sensorimotor learning and control in teleoperation. Proceedings of the SPIE Conference on Micro-Nanotechnology Sensors, Systems, and Applications, 2017.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Team:\u00a0Cydney Beckwith, Darrin Howell, Momona YamagamiMentor:\u00a0Sam Burden &amp; Eatai Roth (ECE) Human interaction with the physical world is increasingly mediated by intelligent machines, e.g., surgical robots and active prostheses \/ orthoses. Our&nbsp;goal is&nbsp;to amplify this interaction by designing machines that adapt to and learn from their human partners. Towards this end,&nbsp;we&nbsp;sought to elucidate the feedback&#8230;<\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/amplify\/past-projects\/interdisciplinary-groups\/\">Read more<\/a><\/div>\n","protected":false},"author":2,"featured_media":0,"parent":708,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-346","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/amplify\/wp-json\/wp\/v2\/pages\/346"}],"collection":[{"href":"https:\/\/depts.washington.edu\/amplify\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/depts.washington.edu\/amplify\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/amplify\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/amplify\/wp-json\/wp\/v2\/comments?post=346"}],"version-history":[{"count":35,"href":"https:\/\/depts.washington.edu\/amplify\/wp-json\/wp\/v2\/pages\/346\/revisions"}],"predecessor-version":[{"id":1089,"href":"https:\/\/depts.washington.edu\/amplify\/wp-json\/wp\/v2\/pages\/346\/revisions\/1089"}],"up":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/amplify\/wp-json\/wp\/v2\/pages\/708"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/amplify\/wp-json\/wp\/v2\/media?parent=346"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}