{"id":120542,"date":"2026-10-13T14:00:05","date_gmt":"2026-10-13T12:00:05","guid":{"rendered":"https:\/\/botland.com.pl\/blog\/?p=120542"},"modified":"2026-10-12T08:52:22","modified_gmt":"2026-10-12T06:52:22","slug":"budowa-sprytnych-robotow-amr-z-arduino-ventuno-q","status":"publish","type":"post","link":"https:\/\/botland.com.pl\/blog\/budowa-sprytnych-robotow-amr-z-arduino-ventuno-q\/","title":{"rendered":"Budowa sprytnych robot\u00f3w AMR z Arduino VENTUNO Q"},"content":{"rendered":"<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Czas czytania:<\/span> <span class=\"rt-time\"> 2<\/span> <span class=\"rt-label rt-postfix\">min.<\/span><\/span>\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"120542\" class=\"elementor elementor-120542\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a588a1f e-flex e-con-boxed e-con e-parent\" data-id=\"a588a1f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2ca5bfc elementor-widget elementor-widget-text-editor\" data-id=\"2ca5bfc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><em>Physical AI, <\/em>czyli fizyczna sztuczna inteligencja, opiera si\u0119 na prostej zasadzie: <strong>inteligencja nie powinna ko\u0144czy\u0107 si\u0119 na obserwacji<\/strong>. Zamiast tego ma nap\u0119dza\u0107 systemy, kt\u00f3re postrzegaj\u0105 otoczenie, wyci\u0105gaj\u0105 wnioski i natychmiast dzia\u0142aj\u0105 w jednej, ci\u0105g\u0142ej p\u0119tli. Doskona\u0142ym przyk\u0142adem tego podej\u015bcia s\u0105 <strong>autonomiczne roboty mobilne (AMR)<\/strong>.<\/p><p>Wyobra\u017a sobie <strong>robota dostawczego<\/strong> w magazynie czy restauracji. Aby bezpiecznie dowie\u017a\u0107 \u0142adunek, musi jednocze\u015bnie:<\/p><ul><li>Nawigowa\u0107, omija\u0107 przeszkody i planowa\u0107 tras\u0119 (co wymaga mocy obliczeniowej Linuksa, wsparcia ROS 2 oraz sztucznej inteligencji).<\/li><li>Precyzyjnie sterowa\u0107 silnikami i b\u0142yskawicznie reagowa\u0107 na sygna\u0142y z czujnik\u00f3w (co wymaga czasu rzeczywistego i mikrosterownika).<br \/><br \/><\/li><\/ul><p><a href=\"https:\/\/botland.com.pl\/arduino-moduly-glowne\/29311-arduino-ventuno-q-16gb-ram-64gb-emmc-abx00181-7630049205949.html\" target=\"_blank\" rel=\"noopener\" data-wpel-link=\"internal\"><strong>Arduino VENTUNO Q<\/strong><\/a> \u0142\u0105czy te dwa \u015bwiaty na jednej p\u0142ytce: <strong>integruje wydajny procesor MPU<\/strong> (Linux) oraz <strong>mikrokontroler MCU<\/strong> (czas rzeczywisty).<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a8cd472 elementor-widget elementor-widget-heading\" data-id=\"a8cd472\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Dwa rdzenie, jeden robot \u2013 jak to dzia\u0142a?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-61836c1 elementor-widget elementor-widget-text-editor\" data-id=\"61836c1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>W tradycyjnych prototypach AMR stosuje si\u0119 osobne p\u0142ytki: minikomputer z Linuksem odpowiada za ROS 2 i kamery, a mikrokontroler dba o silniki. Wymaga to projektowania w\u0142asnych protoko\u0142\u00f3w komunikacyjnych i debugowania dw\u00f3ch odr\u0119bnych \u015brodowisk.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64950a5 elementor-widget elementor-widget-image\" data-id=\"64950a5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/botland.com.pl\/blog\/wp-content\/uploads\/2026\/10\/image-6-1-1536x1025-1.jpeg\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"image-6-1-1536x1025\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTIwNTQzLCJ1cmwiOiJodHRwczpcL1wvYm90bGFuZC5jb20ucGxcL2Jsb2dcL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMjZcLzEwXC9pbWFnZS02LTEtMTUzNngxMDI1LTEuanBlZyJ9\" data-wpel-link=\"internal\">\n\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"534\" src=\"https:\/\/botland.com.pl\/blog\/wp-content\/uploads\/2026\/10\/image-6-1-1536x1025-1-1024x683.jpeg\" class=\"attachment-large size-large wp-image-120543\" alt=\"\" srcset=\"https:\/\/botland.com.pl\/blog\/wp-content\/uploads\/2026\/10\/image-6-1-1536x1025-1-1024x683.jpeg 1024w, https:\/\/botland.com.pl\/blog\/wp-content\/uploads\/2026\/10\/image-6-1-1536x1025-1-300x200.jpeg 300w, https:\/\/botland.com.pl\/blog\/wp-content\/uploads\/2026\/10\/image-6-1-1536x1025-1-768x513.jpeg 768w, https:\/\/botland.com.pl\/blog\/wp-content\/uploads\/2026\/10\/image-6-1-1536x1025-1.jpeg 1536w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Zdj\u0119cie pogl\u0105dowe.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b715211 elementor-widget elementor-widget-text-editor\" data-id=\"b715211\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/botland.com.pl\/arduino-moduly-glowne\/29311-arduino-ventuno-q-16gb-ram-64gb-emmc-abx00181-7630049205949.html\" target=\"_blank\" rel=\"noopener\" data-wpel-link=\"internal\"><strong>VENTUNO Q<\/strong><\/a> rozwi\u0105zuje ten problem. Podzia\u0142 r\u00f3l jest prosty i czysty:<\/p><ul><li><strong>MPU<\/strong> (Linux): Analizuje dane, planuje tras\u0119, obs\u0142uguje AI oraz ROS 2. Decyduje, dok\u0105d robot ma jecha\u0107.<\/li><li><strong>MCU<\/strong> (Real-Time): Steruje silnikami, odczytuje enkodery i czujniki bliskiego zasi\u0119gu. Przek\u0142ada decyzje MPU na fizyczny ruch.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7d1f4ed elementor-widget elementor-widget-heading\" data-id=\"7d1f4ed\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Od czujnika do reakcji: Architektura systemu<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-294bc59 elementor-widget elementor-widget-text-editor\" data-id=\"294bc59\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"text-decoration: underline;\"><strong>Postrzeganie (Sense)<br \/><\/strong><\/span><br \/>\u017baden pojedynczy czujnik nie daje pe\u0142nego obrazu. System \u0142\u0105czy kilka \u017ar\u00f3de\u0142 danych:<\/p><ul><li><strong>LiDAR 2D:<\/strong> Tworzy geometryczn\u0105 map\u0119 otoczenia (dla SLAM i Nav2).<\/li><li><strong>Kamera stereo \/ MIPI:<\/strong> Wykrywa przeszkody tr\u00f3jwymiarowe, rozpoznaje ludzi, stacje dokuj\u0105ce czy \u0142adunek.<\/li><li><strong>Modu\u0142y Modulino:<\/strong> Monitoruj\u0105 martwe pola i dostarczaj\u0105 danych inercyjnych (akcelerometr\/\u017cyroskop).<\/li><li><strong>Enkodery k\u00f3\u0142:<\/strong> Zapewniaj\u0105 precyzyjn\u0105 odometri\u0119.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4337d63 elementor-widget elementor-widget-text-editor\" data-id=\"4337d63\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"text-decoration: underline;\"><strong>Decydowanie (Decide)<\/strong><\/span><br \/><br \/>Na procesorze MPU dzia\u0142a \u015brodowisko <strong>ROS 2<\/strong>. Na podstawie danych z LiDAR-u i odometrii pakiet Nav2 wyznacza tras\u0119 i generuje komendy pr\u0119dko\u015bci. Nie steruj\u0105 one jednak silnikami bezpo\u015brednio \u2013 trafiaj\u0105 do sekcji MCU.<\/p><p><span style=\"text-decoration: underline;\"><strong>Dzia\u0142anie (Act)<br \/><\/strong><\/span><br \/>Mikrokontroler przelicza komendy ruchu na konkretne obroty lewego i prawego ko\u0142a, steruj\u0105c nap\u0119dem (np. przez CAN) z dok\u0142adno\u015bci\u0105 czasu rzeczywistego. Co wa\u017cne \u2013 w razie nag\u0142ej przeszkody czujnik pod\u0142\u0105czony do MCU mo\u017ce natychmiast zatrzyma\u0107 robota, zanim Linux w og\u00f3le przetworzy now\u0105 klatk\u0119 obrazu.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1753522 elementor-widget elementor-widget-heading\" data-id=\"1753522\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Nie tylko wykrywanie, ale i rozumienie \u2013 wsparcie Edge AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-93319a5 elementor-widget elementor-widget-text-editor\" data-id=\"93319a5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Sam LiDAR wie tylko, \u017ce przed robotem stoi \u201ejaka\u015b przeszkoda\u201d. Dodanie modeli <strong>Edge AI<\/strong> (np. przy u\u017cyciu Edge Impulse zintegrowanego z ROS 2 i Arduino App Lab) pozwala zrozumie\u0107 kontekst. Robot wie, czy wymija cz\u0142owieka, w\u00f3zek paletowy czy krzes\u0142o &#8211; i dostosowuje do tego swoje zachowanie (np. zwalnia lub wysy\u0142a komunikat).<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3fb079c elementor-widget elementor-widget-image\" data-id=\"3fb079c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/botland.com.pl\/blog\/wp-content\/uploads\/2026\/10\/image-7-1-1536x1025-1.jpeg\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"image-7-1-1536x1025\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTIwNTQ3LCJ1cmwiOiJodHRwczpcL1wvYm90bGFuZC5jb20ucGxcL2Jsb2dcL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMjZcLzEwXC9pbWFnZS03LTEtMTUzNngxMDI1LTEuanBlZyJ9\" data-wpel-link=\"internal\">\n\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"534\" src=\"https:\/\/botland.com.pl\/blog\/wp-content\/uploads\/2026\/10\/image-7-1-1536x1025-1-1024x683.jpeg\" class=\"attachment-large size-large wp-image-120547\" alt=\"\" srcset=\"https:\/\/botland.com.pl\/blog\/wp-content\/uploads\/2026\/10\/image-7-1-1536x1025-1-1024x683.jpeg 1024w, https:\/\/botland.com.pl\/blog\/wp-content\/uploads\/2026\/10\/image-7-1-1536x1025-1-300x200.jpeg 300w, https:\/\/botland.com.pl\/blog\/wp-content\/uploads\/2026\/10\/image-7-1-1536x1025-1-768x513.jpeg 768w, https:\/\/botland.com.pl\/blog\/wp-content\/uploads\/2026\/10\/image-7-1-1536x1025-1.jpeg 1536w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Zdj\u0119cie pogl\u0105dowe.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-026f4bf elementor-widget elementor-widget-heading\" data-id=\"026f4bf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Prototypowanie krok po kroku<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6ace946 elementor-widget elementor-widget-text-editor\" data-id=\"6ace946\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Zalet\u0105 <a href=\"https:\/\/botland.com.pl\/arduino-moduly-glowne\/29311-arduino-ventuno-q-16gb-ram-64gb-emmc-abx00181-7630049205949.html\" target=\"_blank\" rel=\"noopener\" data-wpel-link=\"internal\"><strong>VENTUNO Q<\/strong> <\/a>jest mo\u017cliwo\u015b\u0107 stopniowego rozwijania projektu:<\/p><ul><li><strong>Pojazd podstawowy:<\/strong> MCU steruje silnikami i odczytuje enkodery.<\/li><li><strong>Komunikacja z ROS 2:<\/strong> Po\u0142\u0105czenie sterowania z MPU (odbieranie komend pr\u0119dko\u015bci, wysy\u0142anie odometrii).<\/li><li><strong>Autonomia:<\/strong> Dodanie LiDAR-u (SLAM, Nav2) oraz czujnik\u00f3w g\u0142\u0119bi.<\/li><li><strong>Kontekst:<\/strong> Wdro\u017cenie modeli Edge AI do rozpoznawania obiekt\u00f3w.<br \/><br \/><\/li><\/ul><p><strong>VENTUNO Q<\/strong> nie rozwi\u0105zuje wszystkich wyzwa\u0144 mechanicznych czy zwi\u0105zanych z zasileniem, ale daje in\u017cynierom gotowy, zintegrowany fundament do budowy nowej generacji robot\u00f3w mobilnych \u2013 od magazynowych po medyczne i rolnicze.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-148893f elementor-widget elementor-widget-text-editor\" data-id=\"148893f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>\u0179r\u00f3d\u0142o:<\/strong> <a href=\"https:\/\/blog.arduino.cc\/2026\/09\/11\/building-smarter-amrs-with-the-arduino-ventuno-q-board\/?queryID=undefined\" target=\"_blank\" rel=\"noopener nofollow external noreferrer\" data-wpel-link=\"external\">blog.arduino.cc<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Jak po\u0142\u0105czy\u0107 p\u0142ynn\u0105 nawigacj\u0119 z natychmiastow\u0105 reakcj\u0105 w robotach mobilnych? Zobacz, jak p\u0142ytka Arduino VENTUNO Q integruje system Linux i mikrokontroler czasu rzeczywistego, u\u0142atwiaj\u0105c budow\u0119 inteligentnych robot\u00f3w AMR wspieranych przez ROS 2 i Edge AI.<\/p>\n","protected":false},"author":27,"featured_media":120555,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[133,703],"tags":[],"class_list":["post-120542","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-arduino","category-sztuczna-inteligencja"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Budowa sprytnych robot\u00f3w AMR z Arduino VENTUNO Q - Botland<\/title>\n<meta name=\"description\" content=\"Poznaj Arduino VENTUNO Q \u2013 p\u0142ytk\u0119 \u0142\u0105cz\u0105c\u0105 MPU z Linuksem i MCU czasu rzeczywistego. 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