{"id":13329,"date":"2019-05-22T07:13:34","date_gmt":"2019-05-22T07:13:34","guid":{"rendered":"http:\/\/faculty.washington.edu\/chx\/?post_type=publication&#038;p=13329"},"modified":"2019-10-30T23:42:35","modified_gmt":"2019-10-30T23:42:35","slug":"following-fast-dynamic-targets-with-only-slow-and-delayed-visual-feedback-a-kalman-filter-and-model-based-prediction-approach","status":"publish","type":"publication","link":"https:\/\/depts.washington.edu\/xchenlab\/publication\/following-fast-dynamic-targets-with-only-slow-and-delayed-visual-feedback-a-kalman-filter-and-model-based-prediction-approach\/","title":{"rendered":"Following Fast-Dynamic Targets With Only Slow And Delayed Visual Feedback\u2014A Kalman Filter and Model-Based Prediction Approach"},"content":{"rendered":"\n<p>propose a new framework with Kalman filters and multirate model-based prediction (1) to reconstruct fast-sampled 3D target position and velocity data, and (2) to compensate the time delay for general robotic motion profiles<\/p>\n","protected":false},"author":5,"featured_media":0,"template":"","meta":{"spay_email":""},"categories":[236],"jetpack_sharing_enabled":true,"jetpack_likes_enabled":false,"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/xchenlab\/wp-json\/wp\/v2\/publication\/13329"}],"collection":[{"href":"https:\/\/depts.washington.edu\/xchenlab\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/depts.washington.edu\/xchenlab\/wp-json\/wp\/v2\/types\/publication"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/xchenlab\/wp-json\/wp\/v2\/users\/5"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/xchenlab\/wp-json\/wp\/v2\/media?parent=13329"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/xchenlab\/wp-json\/wp\/v2\/categories?post=13329"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}