{"id":477,"date":"2022-01-01T02:00:00","date_gmt":"2021-12-31T18:00:00","guid":{"rendered":"http:\/\/ldsc503.direct.quickconnect.to:8888\/?p=477"},"modified":"2023-12-28T18:54:07","modified_gmt":"2023-12-28T10:54:07","slug":"%e7%a7%bb%e5%8b%95%e6%a9%9f%e5%99%a8%e4%ba%ba%e8%88%87%e8%87%aa%e9%a7%95%e8%bb%8a%e5%b0%88%e9%a1%8c","status":"publish","type":"post","link":"https:\/\/ldsc.pme.nthu.edu.tw\/en\/courses\/%e7%a7%bb%e5%8b%95%e6%a9%9f%e5%99%a8%e4%ba%ba%e8%88%87%e8%87%aa%e9%a7%95%e8%bb%8a%e5%b0%88%e9%a1%8c\/","title":{"rendered":"Special Topics in Mobile Robots and Self-Driving Cars"},"content":{"rendered":"\n<div class=\"inherit-container-width wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\"><strong>Course Outline<\/strong><\/h3>\n\n\n\n<p class=\"has-medium-font-size\">This course introduces students to localization, mapping, planning and control of mobile robots and self-driving cars from the probabilistic perspective.&nbsp; Topics include recursive state estimation, Gaussian filters, non-parametric filters, robot motion and perception, localization, mapping, SLAM (simultaneous localization and mapping), obstacle avoidance, navigation, and so on.&nbsp; Laboratory assignments provide hands-on experience with servo drives, sensors, interface circuitry, and microprocessor-based real-time control, Robot Operating System (ROS) programming. Students will fabricate working robotic systems in a group-based term project.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:50%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"ast-oembed-container\" style=\"height: 100%;\"><iframe loading=\"lazy\" title=\"2019\u79fb\u52d5\u6a5f\u5668\u4eba\u8207\u81ea\u99d5\u8eca\u5c08\u984c\u671f\u672b\u7af6\u8cfd\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/gt2E-m5yonM?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:50%\">\n<figure class=\"wp-block-embed aligncenter is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"ast-oembed-container\" style=\"height: 100%;\"><iframe loading=\"lazy\" title=\"2022\u79fb\u52d5\u6a5f\u5668\u4eba\u671f\u672b\u7af6\u8cfd\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/5lcjd3HKr78?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>This course introduces students to localization, mapping, planning and control of mobile robots and self-driving cars from the probabilistic perspective.\u00a0 Topics include recursive state estimation, Gaussian filters, non-parametric filters, robot motion and perception, localization, mapping, SLAM (simultaneous localization and mapping), obstacle avoidance, navigation, and so on.\u00a0 Laboratory assignments provide hands-on experience with servo drives, sensors, interface circuitry, and microprocessor-based real-time control, Robot Operating System (ROS) programming. Students will fabricate working robotic systems in a group-based term project.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","footnotes":""},"categories":[18],"tags":[],"class_list":["post-477","post","type-post","status-publish","format-standard","hentry","category-courses"],"translation":{"provider":"WPGlobus","version":"2.12.2","language":"en","enabled_languages":["tw","en"],"languages":{"tw":{"title":true,"content":true,"excerpt":false},"en":{"title":true,"content":true,"excerpt":true}}},"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"depicter-thumbnail":false},"uagb_author_info":{"display_name":"admin","author_link":"https:\/\/ldsc.pme.nthu.edu.tw\/en\/author\/admin\/"},"uagb_comment_info":0,"uagb_excerpt":"This course introduces students to localization, mapping, planning and control of mobile robots and self-driving cars from the probabilistic perspective.\u00a0 Topics include recursive state estimation, Gaussian filters, non-parametric filters, robot motion and perception, localization, mapping, SLAM (simultaneous localization and mapping), obstacle avoidance, navigation, and so on.\u00a0 Laboratory assignments provide hands-on experience with servo drives, sensors,&hellip;","_links":{"self":[{"href":"https:\/\/ldsc.pme.nthu.edu.tw\/en\/wp-json\/wp\/v2\/posts\/477","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ldsc.pme.nthu.edu.tw\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ldsc.pme.nthu.edu.tw\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ldsc.pme.nthu.edu.tw\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ldsc.pme.nthu.edu.tw\/en\/wp-json\/wp\/v2\/comments?post=477"}],"version-history":[{"count":22,"href":"https:\/\/ldsc.pme.nthu.edu.tw\/en\/wp-json\/wp\/v2\/posts\/477\/revisions"}],"predecessor-version":[{"id":857,"href":"https:\/\/ldsc.pme.nthu.edu.tw\/en\/wp-json\/wp\/v2\/posts\/477\/revisions\/857"}],"wp:attachment":[{"href":"https:\/\/ldsc.pme.nthu.edu.tw\/en\/wp-json\/wp\/v2\/media?parent=477"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ldsc.pme.nthu.edu.tw\/en\/wp-json\/wp\/v2\/categories?post=477"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ldsc.pme.nthu.edu.tw\/en\/wp-json\/wp\/v2\/tags?post=477"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}