• views: 92
• date: 25 July 2026
• posted by: voska89

Analyze robot perception, localization, SLAM, path planning, motion planning, and autonomous navigation algorithms for intelligent robotic systems.
Apply Artificial Intelligence (AI), Machine Learning, Deep Learning, computer vision, and sensor fusion techniques to develop intelligent robotic solutions.
Learn autonomous robotic systems using ROS2, Industrial IoT, Digital Twins, multi-robot coordination, and swarm intelligence concepts.
Analyze business processes and implement Robotic Process Automation (RPA), Cognitive Automation, and Hyperautomation solutions for enterprise applications.
Evaluate intelligent robotics and automation technologies for real-world Industry 4.0 and Industry 5.0 applications

Requirements

No prior experience in Robotics or Robotic Process Automation (RPA) is required.

Description

Step into the world of intelligent automation with this comprehensive course designed to help you master modern robotics, Artificial Intelligence (AI), Robot Operating System (ROS & ROS2), and Robotic Process Automation (RPA). Whether you are a student, engineer, researcher, automation professional, or robotics enthusiast, this course provides the knowledge and practical understanding required to build intelligent robotic and automation systems for Industry 4.0.You will begin by learning the foundations of intelligent robotics, including industrial robots, smart automation systems, robot sensors, perception, sensor fusion, computer vision, collaborative robots (cobots), Industrial IoT, and digital twins. Next, you will explore the core robotics algorithms that enable autonomous robots to perceive, localize, map, navigate, and make intelligent decisions. Topics include localization, occupancy grid mapping, SLAM, path planning, motion planning, obstacle avoidance, task planning, multi-robot coordination, and swarm intelligence.The course then introduces Artificial Intelligence for robotics, covering machine learning, deep learning, convolutional neural networks (CNNs), object detection, reinforcement learning, predictive maintenance, edge AI, and AI-driven human–robot interaction. You will also gain practical knowledge of enterprise automation through Robotic Process Automation (RPA), including workflow automation, OCR, intelligent document processing, process mining, cognitive automation, hyperautomation, and AI-enabled RPA.One of the highlights of this course is the dedicated section on real-world industrial case studies. You will analyze complete end-to-end workflows, including:Warehouse Robot Localization using Monte Carlo Localization (MCL/AMCL).Autonomous Navigation using the A* Path Planning algorithm.Factory Mapping using Simultaneous Localization and Mapping (SLAM).Vision-Guided Robotic Pick-and-Place Systems using computer vision, pose estimation, inverse kinematics, and motion planning.AI-Based Visual Quality Inspection using computer vision and deep learning techniques.Human–Robot Collaboration for safe and intelligent interaction in smart manufacturing environments.Intelligent Invoice Processing using Robotic Process Automation (RPA), OCR, AI document understanding, and ERP integrationThese industrial case studies demonstrate how robotics, ROS & ROS2, AI, computer vision, robotics algorithms, and intelligent automation technologies work together to solve real-world industrial challenges through complete end-to-end workflowsBy the end of this course, you will understand the technologies, algorithms, and intelligent automation techniques powering modern manufacturing, logistics, healthcare, warehouses, and smart factories. You will be equipped with the practical knowledge needed to design, analyze, and implement intelligent robotic and automation solutions for today's Industry 4.0 environments.
Engineering students (Mechanical, Mechatronics, Robotics, Electrical, Electronics, Computer Science, AI, and Automation) who want to build a strong foundation in intelligent robotics and automation.,Robotics enthusiasts and beginners who want to learn ROS2, robot perception, computer vision, SLAM, path planning, and autonomous robotics from the ground up.,Automation, manufacturing, and Industry 4.0 professionals seeking to understand intelligent robotics, Industrial IoT, Digital Twins, and smart manufacturing technologies.,Software developers and AI practitioners interested in applying Artificial Intelligence, Machine Learning, and Deep Learning to robotic systems.,Researchers, educators, and anyone interested in emerging technologies such as autonomous robots, multi-robot systems, swarm intelligence, and Industry 5.0,Anyone who wants to understand modern robotics and automation technologies for career growth or higher studies.




   
   
   

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