{"id":1668,"date":"2026-08-20T10:38:08","date_gmt":"2026-08-20T10:38:08","guid":{"rendered":"https:\/\/learn.newproferm.ro\/?page_id=1668"},"modified":"2026-09-11T09:26:01","modified_gmt":"2026-09-11T09:26:01","slug":"ai-autonomous-robotics","status":"publish","type":"page","link":"https:\/\/learn.newproferm.com\/ro\/ai-autonomous-robotics\/","title":{"rendered":"Inteligen\u021ba Artificial\u0103 \u0219i Robotica Autonom\u0103"},"content":{"rendered":"
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Inteligen\u021ba Artificial\u0103 \u0219i Robotica Autonom\u0103<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Intelligent Robots \u2014 Perception, Autonomy & Physical AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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What if a robot could perceive the world, make decisions and learn how to act?<\/strong><\/p>

AI-powered robots combine physical machines with cameras, sensors and artificial intelligence to understand and interact with the real world.<\/p>

Computer vision allows robots to recognize objects, estimate distances and interpret their surroundings in real time.<\/p>

Autonomous systems can use this information to plan movements, avoid obstacles, navigate environments and decide how to complete a task.<\/p>

Learn how artificial intelligence helps robots perceive their environment, make decisions, plan movements, and adapt to complex real-world situations.<\/p>

AI & Autonomous Robotics requires three essential abilities:<\/strong><\/p>

PERCEPTION + PLANNING + ADAPTATION<\/strong><\/p>

Learning these skills is a first step toward Physical AI<\/strong> \u2014 intelligent systems that can perceive, reason and act in the physical world.<\/p>

Could you help teach a robot to understand and complete a real-world task?<\/strong><\/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

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PRACTICAL MICRO-LESSON 01<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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SENSOR CONFIDENCE DECISION<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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MISSION 01 \u2014 DECIDE WHEN PERCEPTION IS RELIABLE<\/p>

An autonomous robot must pick a component from a worktable.<\/p>

Its vision system detects the component with 62% confidence<\/strong>.<\/p>

The minimum confidence required for autonomous manipulation is 85%<\/strong>.<\/p>

A second camera can provide another observation before the robot acts.<\/p>

What should the robot do?<\/strong><\/p><\/blockquote>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tA \u2014 PICK THE COMPONENT USING THE CURRENT DETECTION<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tB \u2014 IGNORE THE DETECTION AND SEARCH FOR ANOTHER TASK<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tC \u2014 REQUEST ANOTHER OBSERVATION BEFORE ACTING<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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PRACTICAL MICRO-LESSON 02<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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AUTONOMOUS PATH PLANNING<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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MISSION 02 \u2014 SELECT THE SAFEST EFFICIENT ROUTE<\/p>

An autonomous mobile robot must deliver a component to a workstation.<\/p>

Its navigation system calculates three possible routes.<\/p>

Route A:<\/strong> 14 meters \u2014 clear path \u2014 low collision risk.<\/p>

Route B:<\/strong> 10 meters \u2014 moving workers and equipment \u2014 high collision risk.<\/p>

Route C:<\/strong> 22 meters \u2014 clear path \u2014 low collision risk.<\/p>

The robot must complete the delivery safely and efficiently<\/strong>.<\/p>

Which route should the robot select?<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tA \u2014 ROUTE A: 14 M \u2014 CLEAR PATH \u2014 LOW RISK<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tB \u2014 ROUTE B: 10 M \u2014 HIGH RISK<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tC \u2014 ROUTE C: 22 M \u2014 CLEAR PATH \u2014 LOW RISK<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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PRACTICAL MICRO-LESSON 03<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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AUTONOMOUS RECOVERY<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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MISSION 03 \u2014 RECOVER FROM A FAILED ACTION<\/p>

An autonomous robot attempts to pick an object.<\/p>

The first grasp fails and the object remains on the table.<\/p>

The robot still needs to complete the task, and another valid grasp position is available.<\/p>

What should the autonomous system do next?<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tA \u2014 REPEAT THE EXACT SAME ACTION<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tB \u2014 ANALYZE THE FAILURE \u2192 ADJUST THE GRASP \u2192 TRY AGAIN<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tC \u2014 MARK THE ENTIRE TASK AS COMPLETED<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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PRACTICAL MICRO-LESSON 04<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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GOAL PRIORITY DECISION<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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MISSION 04 \u2014 ADAPT WHEN PRIORITIES CHANGE<\/p>

An autonomous robot is transporting a non-urgent component to Station A<\/strong>.<\/p>

During the mission, the control system assigns a new high-priority task<\/strong> at Station B.<\/p>

The robot is carrying the current component securely, and a safe drop-off point is available nearby where the task can be paused.<\/p>

The high-priority task must be handled immediately.<\/p>

What should the autonomous robot do?<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tA \u2014 IGNORE THE NEW TASK AND CONTINUE TO STATION A<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tB \u2014 DROP THE CURRENT COMPONENT AND GO TO STATION B<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tC \u2014 SECURE THE CURRENT TASK \u2192 PAUSE IT SAFELY \u2192 EXECUTE THE HIGH-PRIORITY TASK<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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PRACTICAL MICRO-LESSON 05<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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COMPLETE AUTONOMOUS MISSION<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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MISSION 05 \u2014 ADAPT, RECOVER AND COMPLETE THE TASK<\/p>

An autonomous robot receives a mission to retrieve a component and deliver it to Station B<\/strong>.<\/p>

The robot confirms the target, calculates a safe route and attempts the pickup.<\/p>

The first grasp fails<\/strong> and the component remains on the table.<\/p>

A second valid grasp position is available, but completing the mission now requires the robot to update its original plan<\/strong>.<\/p>

What should the autonomous system do?<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tA \u2014 VERIFY FAILURE \u2192 ADJUST GRASP \u2192 REPLAN \u2192 COMPLETE THE MISSION<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tB \u2014 REPEAT THE ORIGINAL ACTION AND ORIGINAL PLAN WITHOUT CHANGES<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tC \u2014 REPORT THE MISSION AS COMPLETED AFTER THE FIRST ATTEMPT<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t \t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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YOUR CHALLENGE RESULT<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Complete all 5 micro-lessons to see your score.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tTRY AGAIN<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

AI & Autonomous Robotics Intelligent Robots \u2014 Perception, Autonomy & Physical AI What if a robot could perceive the world, make decisions and learn how to act? AI-powered robots combine physical machines with cameras, sensors and artificial intelligence to understand and interact with the real world. Computer vision allows robots to recognize objects, estimate distances […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"full-width-container","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":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","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","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-1668","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/learn.newproferm.com\/ro\/wp-json\/wp\/v2\/pages\/1668","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/learn.newproferm.com\/ro\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/learn.newproferm.com\/ro\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/learn.newproferm.com\/ro\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/learn.newproferm.com\/ro\/wp-json\/wp\/v2\/comments?post=1668"}],"version-history":[{"count":28,"href":"https:\/\/learn.newproferm.com\/ro\/wp-json\/wp\/v2\/pages\/1668\/revisions"}],"predecessor-version":[{"id":2046,"href":"https:\/\/learn.newproferm.com\/ro\/wp-json\/wp\/v2\/pages\/1668\/revisions\/2046"}],"wp:attachment":[{"href":"https:\/\/learn.newproferm.com\/ro\/wp-json\/wp\/v2\/media?parent=1668"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}